Senior Cyber Security Architect Salary upto £80,000 Description: Since our establishment in 1990, Methods has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to improve and safeguard public-facing services. We apply digital thinking to ensure the future of our public services is centred around our citizens. Our human touch sets us apart from other consultancies, system integrators and software houses - we have a customer-centric value system whereby we focus on delivering what is right for our clients. We passionately support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Methods are experts in delivering secure, resilient cyber and information services - keeping systems and data safe. We help reduce risk and vulnerabilities from cyber-attacks by developing a security road-map tailored to your unique needs. We help organisations improve processes such as threat management by building an identity management programme, and establishing prevention, detection and response capabilities to cyber-attacks. Requirements Ability to research, articulate, pitch complex and innovative security advice, at both business and technical levels, for new or existing problems, with the objective to justify and communicate decisions directly to key customer stakeholders including senior management. Able to understand and comprehend the impact of decisions, balancing requirements and deciding between approaches Develop vision, principles and strategy for security for multiple projects or technologies; working in a particular field as subject matter expert, to support a team in delivering engagements at scale, which may require subtle security needs and requirements, contributing to development of information security policy, standards, procedures and guidelines. Effective business acumen and an understanding of the cyber security challenges faced by client, with the objective to develop our cyber assurance practice, by supporting business development and practice management. Experience of identifying and applying security risk and familiarity with common control frameworks, with the ability investigating major breaches of security and recommending appropriate control improvements. Maintaining awareness of key business and industry trends and understanding how they impact responses to cyber risk, with the contribution of the development of our team through training and coaching. Managing, delivering, leading cyber security and cyber risk assignments, with the management of portfolio of clients, across a variety of sectors and locations, including producing documentation, presentation, reports, recommendations and quality assuring, for the work produced by team members and being the point of escalation for lower grade roles. Providing our clients with trusted advice, rooted in a pragmatic and agnostic understanding of their business situation and objectives, to help them navigate complex, risk-driven cyber decisions. Working as a subject matter expert in your particular field, owning and delivering initiatives to embed quality through learning and other activity, working seamlessly and collaboratively with colleagues and clients from other service lines, supporting a team or colleagues to deliver engagements at scale, with the appropriate reach and influence across the teams and communities. Managing diverse teams within an inclusive team culture where people are recognised and encouraged for their contribution. Essential Skills and Experience: An experienced consultant with a background in Cyber Security Minimum 5-7 years of experience in Information Security related positions Minimum 3-5 years of experience in security architecture Cyber Security Certification eg ISC2 CISSP, ISC2 CCSP, ISACA CISM or similar Certification in AWS or Azure for Architecture and Security or similar IASME/Cyber Essentials Plus Certified Expert knowledge of secure network architecture and technical design Experience in creating secure architecture in either AWS and/or Azure Experience providing expert strategy, risk and technical advice, guidance and support on cyber security, both in business-as-usual and for live and planned projects within our clients' business. Expected to be the point of escalation for architects in lower grade roles and lead technical design of systems and services Broad range of cyber and information security skills, knowledge and experience such as security threats and vulnerabilities that impact/and/or emanate from system hardware, software and other infrastructure components, and relevant strategies, controls and activities to prevent, mitigate, detect and resolve security incidents affecting system hardware, software and other infrastructure components. Experience in gap analysis for specific domains, identify gaps in existing capabilities, service maturity. Identify missing cybersecurity and cyber-resiliency capabilities in alignment with changing business needs, threat land scape and technical requirements to increase the quality of the selected solutions also including topics such as products' convergence over time and products decommissioning. Expert knowledge of identifying, developing and communicating threat modelling and understanding the impact of decisions, balancing requirements and deciding between approaches Research and apply innovative security architecture solutions to new or existing problems and be able to justify and communicate subtle design decisions Able to develop vision, principles and strategy for security architects for projects or technologies Demonstrably experienced in working as an effective member of a multi-disciplinary team and reach & influence a wide range of people across larger teams and communities. Excellent stakeholder management, presentation and communication skills, with the ability to interact with senior stakeholders across department and clients Pro-active approach to personal and professional development. Work closely with your peers in the security architecture group, service and solution architects, engineers, project teams. Must hold, or be able to hold, an HMG Security Check (SC) clearance. Ability to apply standards, practices, codes and assessment of certification programmes relevant to the IT industry and the specific organisation or business domain. Experience in writing and creating Cyber Security documents ie Risk Assessments, ESRM, DPIA etc and produce particular patterns and support quality assurance Knowledge of the IT/IS infrastructure (eg databases and LANs) and the IT applications and service processes used within own organisation, including those associated with sustainability and efficiency. Ability to use any tool or system which provides security access control (eg Active Directory) Showing proficiency in the principles and application of cloud/virtualisation (including ownership responsibilities and security implications) and be able to use tools and systems to manage virtualised environments eg Server/desktop virtualisation and SDDC (Software Defined Data Centre). Benefits Holiday: 25 days a year, plus bank holidays, with the option to buy 5 extra days each year Pension: 4% employer contribution and 5% employee contribution Discretionary bonus: based on company and individual performance Life assurance: 4 times base salary Private medical insurance: non-contributory (spouse and dependants included) Worldwide travel insurance: non-contributory (spouse and dependants included) Enhanced maternity and paternity leave after 18 months service Wellness: 24/7 confidential employee assistance programme, including counselling Social: Parties and social events, and commitment to charitable causes Professional development: access to LinkedIn Learning, and discretionary training budget Travel: season ticket loan, cycle to work scheme Development access to LinkedIn Learning, a management development programme and training Wellness 24/7 Confidential employee assistance programme
18/06/2024
Full time
Senior Cyber Security Architect Salary upto £80,000 Description: Since our establishment in 1990, Methods has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Our mission is to improve and safeguard public-facing services. We apply digital thinking to ensure the future of our public services is centred around our citizens. Our human touch sets us apart from other consultancies, system integrators and software houses - we have a customer-centric value system whereby we focus on delivering what is right for our clients. We passionately support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them. Methods are experts in delivering secure, resilient cyber and information services - keeping systems and data safe. We help reduce risk and vulnerabilities from cyber-attacks by developing a security road-map tailored to your unique needs. We help organisations improve processes such as threat management by building an identity management programme, and establishing prevention, detection and response capabilities to cyber-attacks. Requirements Ability to research, articulate, pitch complex and innovative security advice, at both business and technical levels, for new or existing problems, with the objective to justify and communicate decisions directly to key customer stakeholders including senior management. Able to understand and comprehend the impact of decisions, balancing requirements and deciding between approaches Develop vision, principles and strategy for security for multiple projects or technologies; working in a particular field as subject matter expert, to support a team in delivering engagements at scale, which may require subtle security needs and requirements, contributing to development of information security policy, standards, procedures and guidelines. Effective business acumen and an understanding of the cyber security challenges faced by client, with the objective to develop our cyber assurance practice, by supporting business development and practice management. Experience of identifying and applying security risk and familiarity with common control frameworks, with the ability investigating major breaches of security and recommending appropriate control improvements. Maintaining awareness of key business and industry trends and understanding how they impact responses to cyber risk, with the contribution of the development of our team through training and coaching. Managing, delivering, leading cyber security and cyber risk assignments, with the management of portfolio of clients, across a variety of sectors and locations, including producing documentation, presentation, reports, recommendations and quality assuring, for the work produced by team members and being the point of escalation for lower grade roles. Providing our clients with trusted advice, rooted in a pragmatic and agnostic understanding of their business situation and objectives, to help them navigate complex, risk-driven cyber decisions. Working as a subject matter expert in your particular field, owning and delivering initiatives to embed quality through learning and other activity, working seamlessly and collaboratively with colleagues and clients from other service lines, supporting a team or colleagues to deliver engagements at scale, with the appropriate reach and influence across the teams and communities. Managing diverse teams within an inclusive team culture where people are recognised and encouraged for their contribution. Essential Skills and Experience: An experienced consultant with a background in Cyber Security Minimum 5-7 years of experience in Information Security related positions Minimum 3-5 years of experience in security architecture Cyber Security Certification eg ISC2 CISSP, ISC2 CCSP, ISACA CISM or similar Certification in AWS or Azure for Architecture and Security or similar IASME/Cyber Essentials Plus Certified Expert knowledge of secure network architecture and technical design Experience in creating secure architecture in either AWS and/or Azure Experience providing expert strategy, risk and technical advice, guidance and support on cyber security, both in business-as-usual and for live and planned projects within our clients' business. Expected to be the point of escalation for architects in lower grade roles and lead technical design of systems and services Broad range of cyber and information security skills, knowledge and experience such as security threats and vulnerabilities that impact/and/or emanate from system hardware, software and other infrastructure components, and relevant strategies, controls and activities to prevent, mitigate, detect and resolve security incidents affecting system hardware, software and other infrastructure components. Experience in gap analysis for specific domains, identify gaps in existing capabilities, service maturity. Identify missing cybersecurity and cyber-resiliency capabilities in alignment with changing business needs, threat land scape and technical requirements to increase the quality of the selected solutions also including topics such as products' convergence over time and products decommissioning. Expert knowledge of identifying, developing and communicating threat modelling and understanding the impact of decisions, balancing requirements and deciding between approaches Research and apply innovative security architecture solutions to new or existing problems and be able to justify and communicate subtle design decisions Able to develop vision, principles and strategy for security architects for projects or technologies Demonstrably experienced in working as an effective member of a multi-disciplinary team and reach & influence a wide range of people across larger teams and communities. Excellent stakeholder management, presentation and communication skills, with the ability to interact with senior stakeholders across department and clients Pro-active approach to personal and professional development. Work closely with your peers in the security architecture group, service and solution architects, engineers, project teams. Must hold, or be able to hold, an HMG Security Check (SC) clearance. Ability to apply standards, practices, codes and assessment of certification programmes relevant to the IT industry and the specific organisation or business domain. Experience in writing and creating Cyber Security documents ie Risk Assessments, ESRM, DPIA etc and produce particular patterns and support quality assurance Knowledge of the IT/IS infrastructure (eg databases and LANs) and the IT applications and service processes used within own organisation, including those associated with sustainability and efficiency. Ability to use any tool or system which provides security access control (eg Active Directory) Showing proficiency in the principles and application of cloud/virtualisation (including ownership responsibilities and security implications) and be able to use tools and systems to manage virtualised environments eg Server/desktop virtualisation and SDDC (Software Defined Data Centre). Benefits Holiday: 25 days a year, plus bank holidays, with the option to buy 5 extra days each year Pension: 4% employer contribution and 5% employee contribution Discretionary bonus: based on company and individual performance Life assurance: 4 times base salary Private medical insurance: non-contributory (spouse and dependants included) Worldwide travel insurance: non-contributory (spouse and dependants included) Enhanced maternity and paternity leave after 18 months service Wellness: 24/7 confidential employee assistance programme, including counselling Social: Parties and social events, and commitment to charitable causes Professional development: access to LinkedIn Learning, and discretionary training budget Travel: season ticket loan, cycle to work scheme Development access to LinkedIn Learning, a management development programme and training Wellness 24/7 Confidential employee assistance programme
Engineering Laboratory Technician As a Lab Technician, you will work in our Test Laboratory which is located at our UK manufacturing plant in Parham, Suffolk. You will support the Research and Development team, working alongside the Product Designers, Application Engineers and Quality team, taking responsibility and ownership for the care and maintenance of the equipment in the test lab, as well as maintaining a clean and tidy work environment, preparing samples for mechanical and environmental testing, undertaking the tests and recording the results. To periodically audit and inspect the performance and attributes of finished products, both made by the client and competing products. The role will report to the Director of Research and Development. Key benefits include: Salary to C. £32,000 discretionary bonus scheme 25 days holiday (plus bank holidays). generous pension scheme & life assurance chance to take up other benefits including Health Insurance, cycle to work scheme, an employee assistance program, paid time off for volunteer work, plus many others. You will make an impact in the following way: You will be planning, setting up and undertaking controlled tests and trials in accordance with internal and international standards. As well as development and management of test procedures and standards. To ensure that all tests and trials are recorded and reported accurately by documenting and presenting results and conclusions of all trials and experience to cross-functional teams across the business. Provide technical support on New Product Development projects. Manage or liaise with 3rd party test houses during outsourced testing. To carry out investigations in a methodical and controlled manner using root-cause investigation into quality issues. Including workmanship, assembly methods, mechanical design and non-conforming material. Writing comprehensive reports on findings to support the R&D team What you will bring: Experience of working in a manufacturing industry for +3 years is an advantage Some physics as a minimum, to understand energy/force/mechanical/environmental aspects of testing. Experience following set processes and procedures and ability to produce reports and collate information/data. Experience with plastics/polymers etc ideally sought Experience working in a Test Lab environment within a team English, Mathematics and Sciences GCSEs or equivalent, Preferably HNC or BEng Degree in a related discipline. Let's Write the Next 100 Years Together. Join a global community striving to improve connectivity and security. We offer you hybrid and remote work practices where feasible, flexible working hours, an employee stock purchase plan, parental leave benefits, paid leave for volunteer work in your community, multiple and frequent training opportunities, professional talent management and succession planning, corporate health and well-being initiatives and a work culture which includes a commitment to diversity, equity, inclusion and sustainability.
18/06/2024
Full time
Engineering Laboratory Technician As a Lab Technician, you will work in our Test Laboratory which is located at our UK manufacturing plant in Parham, Suffolk. You will support the Research and Development team, working alongside the Product Designers, Application Engineers and Quality team, taking responsibility and ownership for the care and maintenance of the equipment in the test lab, as well as maintaining a clean and tidy work environment, preparing samples for mechanical and environmental testing, undertaking the tests and recording the results. To periodically audit and inspect the performance and attributes of finished products, both made by the client and competing products. The role will report to the Director of Research and Development. Key benefits include: Salary to C. £32,000 discretionary bonus scheme 25 days holiday (plus bank holidays). generous pension scheme & life assurance chance to take up other benefits including Health Insurance, cycle to work scheme, an employee assistance program, paid time off for volunteer work, plus many others. You will make an impact in the following way: You will be planning, setting up and undertaking controlled tests and trials in accordance with internal and international standards. As well as development and management of test procedures and standards. To ensure that all tests and trials are recorded and reported accurately by documenting and presenting results and conclusions of all trials and experience to cross-functional teams across the business. Provide technical support on New Product Development projects. Manage or liaise with 3rd party test houses during outsourced testing. To carry out investigations in a methodical and controlled manner using root-cause investigation into quality issues. Including workmanship, assembly methods, mechanical design and non-conforming material. Writing comprehensive reports on findings to support the R&D team What you will bring: Experience of working in a manufacturing industry for +3 years is an advantage Some physics as a minimum, to understand energy/force/mechanical/environmental aspects of testing. Experience following set processes and procedures and ability to produce reports and collate information/data. Experience with plastics/polymers etc ideally sought Experience working in a Test Lab environment within a team English, Mathematics and Sciences GCSEs or equivalent, Preferably HNC or BEng Degree in a related discipline. Let's Write the Next 100 Years Together. Join a global community striving to improve connectivity and security. We offer you hybrid and remote work practices where feasible, flexible working hours, an employee stock purchase plan, parental leave benefits, paid leave for volunteer work in your community, multiple and frequent training opportunities, professional talent management and succession planning, corporate health and well-being initiatives and a work culture which includes a commitment to diversity, equity, inclusion and sustainability.
IT Engineer/Normalization Engineer | Long-Term Project | Financial Enterprise We are seeking an experienced IT Engineer for a long-term project in the financial sector. The candidate will play a crucial role in identifying and implementing the most effective approaches to enforce containment actions during cybersecurity crises within our infrastructure. This role involves designing and developing both technical and procedural implementations for manual execution, conducting feasibility studies, and identifying prerequisites and stakeholders. The candidate will also develop and document processes/procedures, conduct simulated testing, and ensure effective execution of these processes during cybersecurity incidents. Key Responsibilities: Containment Action Planning: Identify the most effective approaches to enforce containment actions in case of a cybersecurity crisis. Feasibility Studies: Conduct feasibility studies and identify prerequisites and stakeholders for containment actions. Process Design: Design technical and procedural implementations for manual execution of containment actions. Process Development: Develop processes and procedures for containment action execution, ensuring these are discussed and agreed upon with major stakeholders. Simulated Testing: Conduct simulated testing of developed processes and procedures to ensure effective execution during cybersecurity crises. Documentation: Ensure process/procedure documentation is agreed upon and approved by all stakeholders. Required Knowledge, Skills, and Competences: Enterprise Architecture: Good general knowledge of enterprise architecture across different domains such as Networks, Network Security, Identity and Access Management, Virtualized and BareMetal Infrastructures. Infrastructure Management: Practical experience in managing and administering infrastructure components (eg, Firewalls, Proxies, Active Directory, VMWare ESXi). Process Development: Experience in developing and documenting operational processes and procedures. Analytical Skills: Strong analytical thinking and a structured approach to problem-solving. Stakeholder Management: Excellent stakeholder management and communication skills. Problem-Solving: Critical mindset and problem-solving abilities. Adaptability: Ability to quickly adapt to changing environments and input requirements. Autonomy: Ability to work autonomously without step-by-step guidance. Cybersecurity: Strong cybersecurity mindset. Languages: Fluent in English. Technical Skills and Experience: Normalization Expertise: Experience with normalization, including field formatting, regular expressions (RegEx), inspection rules, and ACIM normalization schemas. Tools: Proficiency with tools such as MS Sentinel, KQL (Kusto Query Language), parsing, and large dataset onboarding. Automation: Experience in automating security incident response activities, integrating large sets of systems, and designing and engineering automation for actions such as isolating laptops, blocking websites/domains, and managing connectivity and permissions. System Integration: Deep knowledge of systems and the ability to connect and communicate with various stakeholders. Engineering & Design: Strong capabilities in engineering and designing systems with a focus on automation and scalability. Specific Tools: Proficiency with the Microsoft stack, Logic Apps, Service Bus, Python, network and Firewall configurations, proxies, Identity and Access Management concepts, Azure AD, and application gateways. Team Structure: Large team consisting of five subteams with specific focus areas, including incident response and detection engineering. Collaborate with the Product Owner (PO) and other stakeholders at both the architectural and engineering levels. Stakeholder Management: Engage with system owners to discuss and manage system limitations, blocking orders, and rule implementations. Conduct discussions and negotiations with various stakeholders to ensure the successful execution of cybersecurity measures. Education and Experience: Relevant education level in IT or a related field. Extensive experience in IT engineering, architecture, and cybersecurity. About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
17/06/2024
Project-based
IT Engineer/Normalization Engineer | Long-Term Project | Financial Enterprise We are seeking an experienced IT Engineer for a long-term project in the financial sector. The candidate will play a crucial role in identifying and implementing the most effective approaches to enforce containment actions during cybersecurity crises within our infrastructure. This role involves designing and developing both technical and procedural implementations for manual execution, conducting feasibility studies, and identifying prerequisites and stakeholders. The candidate will also develop and document processes/procedures, conduct simulated testing, and ensure effective execution of these processes during cybersecurity incidents. Key Responsibilities: Containment Action Planning: Identify the most effective approaches to enforce containment actions in case of a cybersecurity crisis. Feasibility Studies: Conduct feasibility studies and identify prerequisites and stakeholders for containment actions. Process Design: Design technical and procedural implementations for manual execution of containment actions. Process Development: Develop processes and procedures for containment action execution, ensuring these are discussed and agreed upon with major stakeholders. Simulated Testing: Conduct simulated testing of developed processes and procedures to ensure effective execution during cybersecurity crises. Documentation: Ensure process/procedure documentation is agreed upon and approved by all stakeholders. Required Knowledge, Skills, and Competences: Enterprise Architecture: Good general knowledge of enterprise architecture across different domains such as Networks, Network Security, Identity and Access Management, Virtualized and BareMetal Infrastructures. Infrastructure Management: Practical experience in managing and administering infrastructure components (eg, Firewalls, Proxies, Active Directory, VMWare ESXi). Process Development: Experience in developing and documenting operational processes and procedures. Analytical Skills: Strong analytical thinking and a structured approach to problem-solving. Stakeholder Management: Excellent stakeholder management and communication skills. Problem-Solving: Critical mindset and problem-solving abilities. Adaptability: Ability to quickly adapt to changing environments and input requirements. Autonomy: Ability to work autonomously without step-by-step guidance. Cybersecurity: Strong cybersecurity mindset. Languages: Fluent in English. Technical Skills and Experience: Normalization Expertise: Experience with normalization, including field formatting, regular expressions (RegEx), inspection rules, and ACIM normalization schemas. Tools: Proficiency with tools such as MS Sentinel, KQL (Kusto Query Language), parsing, and large dataset onboarding. Automation: Experience in automating security incident response activities, integrating large sets of systems, and designing and engineering automation for actions such as isolating laptops, blocking websites/domains, and managing connectivity and permissions. System Integration: Deep knowledge of systems and the ability to connect and communicate with various stakeholders. Engineering & Design: Strong capabilities in engineering and designing systems with a focus on automation and scalability. Specific Tools: Proficiency with the Microsoft stack, Logic Apps, Service Bus, Python, network and Firewall configurations, proxies, Identity and Access Management concepts, Azure AD, and application gateways. Team Structure: Large team consisting of five subteams with specific focus areas, including incident response and detection engineering. Collaborate with the Product Owner (PO) and other stakeholders at both the architectural and engineering levels. Stakeholder Management: Engage with system owners to discuss and manage system limitations, blocking orders, and rule implementations. Conduct discussions and negotiations with various stakeholders to ensure the successful execution of cybersecurity measures. Education and Experience: Relevant education level in IT or a related field. Extensive experience in IT engineering, architecture, and cybersecurity. About Levy Professionals Since 2000 we provide professional solutions to organizations ranging from tech start-ups to global players. From our offices in Amsterdam and London we have built an international and local network of skilled employed professionals and contractors fuelled by our passion for connecting skills with projects. Over the years we have fulfilled over 1700 requirements and nowadays we consistently have 250+ professionals recruited and relocated from 14 countries allocated to various projects. Our strength is the way that we see and treat people. This will always be a key factor in our strategy for many years to come.
We are currently looking on behalf of one of our important clients for an IAM Systems Engineer. This role is permanent position based in Zürich Canton & comes with good home office allowance. Your Role: As an Identity Access Management Systems Engineer; hold responsibility for the planning, implementation & operation of IAM solutions. Support an IAM Product Owner in the strategic development of an IAM product & hold responsibility for the identity life cycle management process. Develop IAM solutions based on product backlog requirements. Integrate IAM solutions into an existing application landscape & implement the necessary technical security solutions. Ensure smooth functionality & comply with security guidelines & legal requirements. Create & update technical documentation of IAM solutions & processes. Carry out topic-specific projects if necessary. Your Skills: At least 3 years of professional experience in IT System Engineering in IAM environments. A very good knowledge of IAM Concepts, Architectures & Technologies. A good understanding in the field of Identity Management (SSO, identity encouragement, role-based access control, etc.). Experienced in IAM tools such as Identity Management, Access Management, Directory Services & Federations. Your Profile: Completed University Degree in the area of Computer Science or similar, ideally with focus on Cyber Security/IAM. High self-motivated, analytical, methodical, structured & quality, solution & goal-oriented. Fluent in English & very good German language skills (to at least B2 Level) are mandatory requirements.
17/06/2024
Full time
We are currently looking on behalf of one of our important clients for an IAM Systems Engineer. This role is permanent position based in Zürich Canton & comes with good home office allowance. Your Role: As an Identity Access Management Systems Engineer; hold responsibility for the planning, implementation & operation of IAM solutions. Support an IAM Product Owner in the strategic development of an IAM product & hold responsibility for the identity life cycle management process. Develop IAM solutions based on product backlog requirements. Integrate IAM solutions into an existing application landscape & implement the necessary technical security solutions. Ensure smooth functionality & comply with security guidelines & legal requirements. Create & update technical documentation of IAM solutions & processes. Carry out topic-specific projects if necessary. Your Skills: At least 3 years of professional experience in IT System Engineering in IAM environments. A very good knowledge of IAM Concepts, Architectures & Technologies. A good understanding in the field of Identity Management (SSO, identity encouragement, role-based access control, etc.). Experienced in IAM tools such as Identity Management, Access Management, Directory Services & Federations. Your Profile: Completed University Degree in the area of Computer Science or similar, ideally with focus on Cyber Security/IAM. High self-motivated, analytical, methodical, structured & quality, solution & goal-oriented. Fluent in English & very good German language skills (to at least B2 Level) are mandatory requirements.
Azure Developer (C#, DevOps, Data Lake, Logic Apps) Havant, Portsmouth (2 days per week in the office). £45000 - £62000 + Benefits This role cannot offer VISA Sponsorship to applicants. Your new company I'm working with an energy provider with a focus on modern DevOps practices that have considerably grown their Development team after winning a new contract of work. We're looking for an Azure Developer to work between 2 days in their head office in Havant per week. Your new role You'll be working on a long-term greenfield project and using the best tools available. You'll be working with them to build internal tools and helping to push their product roadmap along in a mainly greenfield environment. No unrealistic deadlines or shipping software with a compromise on quality. Career progression is of paramount importance and working here you'll know exactly what you're driving towards and work will never be repetitive given the complexity of projects they take on. The development projects being varied is representative of working for a company with a global reach. The team have implemented DevOps and now champion continuous improvement. You'll be expected to embrace this and to share knowledge regularly, getting behind Agile principles and generally supporting software best practice/design principles. This position is offered at high mid-level/senior so the progression opportunities are very realistic for someone wanting to push towards Lead level and then to be involved in architecture/mentoring. What you'll need to succeed We're looking for an experienced Azure Developer strong fundamental C#. Deep knowledge of Azure is essential - Azure DevOps (Functions, Redis, Service Bus etc), plus knowledge of Data Lake, Logic Apps, Power BI etc. Working here you'll use the latest versions of .NET daily to build complex applications. You should have good knowledge of implementing common design and architectural patterns and pushing CI/CD in an Agile environment and will have a strong command of the entire SDLC. What you'll get in return You'll join a team where work life balance is of paramount importance. They have one of the best pension schemes in the county, offering up to 15% matched of salary. There's a 6% bonus scheme, 27 days holiday + bank holidays, and life assurance scheme as well. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/06/2024
Full time
Azure Developer (C#, DevOps, Data Lake, Logic Apps) Havant, Portsmouth (2 days per week in the office). £45000 - £62000 + Benefits This role cannot offer VISA Sponsorship to applicants. Your new company I'm working with an energy provider with a focus on modern DevOps practices that have considerably grown their Development team after winning a new contract of work. We're looking for an Azure Developer to work between 2 days in their head office in Havant per week. Your new role You'll be working on a long-term greenfield project and using the best tools available. You'll be working with them to build internal tools and helping to push their product roadmap along in a mainly greenfield environment. No unrealistic deadlines or shipping software with a compromise on quality. Career progression is of paramount importance and working here you'll know exactly what you're driving towards and work will never be repetitive given the complexity of projects they take on. The development projects being varied is representative of working for a company with a global reach. The team have implemented DevOps and now champion continuous improvement. You'll be expected to embrace this and to share knowledge regularly, getting behind Agile principles and generally supporting software best practice/design principles. This position is offered at high mid-level/senior so the progression opportunities are very realistic for someone wanting to push towards Lead level and then to be involved in architecture/mentoring. What you'll need to succeed We're looking for an experienced Azure Developer strong fundamental C#. Deep knowledge of Azure is essential - Azure DevOps (Functions, Redis, Service Bus etc), plus knowledge of Data Lake, Logic Apps, Power BI etc. Working here you'll use the latest versions of .NET daily to build complex applications. You should have good knowledge of implementing common design and architectural patterns and pushing CI/CD in an Agile environment and will have a strong command of the entire SDLC. What you'll get in return You'll join a team where work life balance is of paramount importance. They have one of the best pension schemes in the county, offering up to 15% matched of salary. There's a 6% bonus scheme, 27 days holiday + bank holidays, and life assurance scheme as well. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
1st/2nd Line Support - Active Directory - Windows - Bristol. My financial Services client are looking for a 1st Line Helpdesk Support Analyst (Telephone Support) to provide support to their 1100 users. The role is primarily focused with fulfilling service requests that are logged, which includes processing Starter, Mover, and Leaver (SML) and all permission, software and hardware requests made by the business. To provide a friendly, supportive helpful and timely service to all customers who contact the Service Centre Continually strive for process improvement and seeking ways to maximise efficiency. Use sound judgment and make decisions that will maximize customer satisfaction. Strive to continually improve personal performance in order to achieve team and departmental SLA's and KPI's. Take responsibility for continuous self-development and own learning, progressing to tier two support an outstanding and professional support to specific areas of the business Experience of the following systems/technologies: Creating and administering Starter, mover, leaver accounts. Minimum of 2 years' experience working in a Customer Service or Service Centre environment. Strong customer service skills Supporting Microsoft Windows 11 in an enterprise environment Administrating Microsoft Active Directory Supporting Microsoft 365 Applications Supporting remote connectivity/VPN Supporting LAN/WAN technologies Supporting HP hardware (Laptops and Desktops) Experience of Microsoft Intune Experience of Jira Service Management Experience supporting iOS Apple devices Demonstrate track record of owning & managing initiatives/projects to completion
17/06/2024
Full time
1st/2nd Line Support - Active Directory - Windows - Bristol. My financial Services client are looking for a 1st Line Helpdesk Support Analyst (Telephone Support) to provide support to their 1100 users. The role is primarily focused with fulfilling service requests that are logged, which includes processing Starter, Mover, and Leaver (SML) and all permission, software and hardware requests made by the business. To provide a friendly, supportive helpful and timely service to all customers who contact the Service Centre Continually strive for process improvement and seeking ways to maximise efficiency. Use sound judgment and make decisions that will maximize customer satisfaction. Strive to continually improve personal performance in order to achieve team and departmental SLA's and KPI's. Take responsibility for continuous self-development and own learning, progressing to tier two support an outstanding and professional support to specific areas of the business Experience of the following systems/technologies: Creating and administering Starter, mover, leaver accounts. Minimum of 2 years' experience working in a Customer Service or Service Centre environment. Strong customer service skills Supporting Microsoft Windows 11 in an enterprise environment Administrating Microsoft Active Directory Supporting Microsoft 365 Applications Supporting remote connectivity/VPN Supporting LAN/WAN technologies Supporting HP hardware (Laptops and Desktops) Experience of Microsoft Intune Experience of Jira Service Management Experience supporting iOS Apple devices Demonstrate track record of owning & managing initiatives/projects to completion
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
14/06/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
14/06/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform. This director will need hands-on experience with Java, DevOps, CICD, AWS, Containers, terraform, Etc. Responsibilities: Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Are you an experienced Security Control Centre Senior Alarm Operator looking for a new opportunity? Look no further! We have an exciting temporary role with our client, a leading organisation in the Utilities industry. As a SCC Senior Alarm Operator, you will play a crucial role in the Security Control Centre, contributing to the safety and security of our client's people, assets, and reputation. Reporting directly to the SCC Manager in Corporate Security, you will join a dynamic and front-line team. Security Control Centre Senior Alarm Operator 6 months (extension options) Warwick (4 days on 4 days off, 3 Shift Patterns) Rate £46,189 Here's what you'll be doing: Supporting the Team Leader and Operators during shifts. Coaching and mentoring new alarm operators to aid their development and experience. Deputising for the Team Leader when necessary. Managing TAS and fault operations systems. Handling incidents effectively. Collaborating and communicating with stakeholders on sites. Managing the service desk. Thoroughly checking alarms throughout the day to ensure their operational status. Monitoring multiple Gas sites across the UK using computer systems and CCTV. Maintaining compliance with British standards BS 50518 and 7958. Responding to alarms promptly and efficiently. Ensuring the safety of the Engineers and sites. Handling emergency situations with poise and professionalism. Providing exceptional customer service through effective telephone communication. Demonstrating good time management skills to meet deadlines. Contributing to the effectiveness of the team. Upholding a high level of accuracy and attention to detail. Remaining calm under pressure. To excel in this role, you'll need: In-depth knowledge and experience with Gallagher Alarm and Access control Systems, Synectics Video & Alarm Management, Active Directory, CCTV, Video Analytics, Perimeter Intruder Detection (PID) systems, and CNI Environment. Familiarity with the management of ISS operational service and maintenance contracts. Proficiency in using MS Office applications. Excellent verbal and written communication skills to establish and maintain successful relationships. Strong problem-solving abilities with a logical and analytical mindset. Competency in the security of Information Systems. Experience in contract management. Previous exposure to customer-focused, performance-based environments. Proficiency in bespoke security solutions. Familiarity with IT Service Management. Experience working in operations or control rooms. Desired qualifications and skills: Full UK Driving Licence. CCTV qualified and licenced (SIA Public Space Surveillance - CCTV). Control room experience. Strong qualifications or demonstrable experience in Maths, English, and IT. Previous management experience and coaching and mentoring skills. This role is subject to National Security Vetting (NSV) in addition to our standard background checks being undertaken. National Security Vetting requires that you meet the Minimum Residency Criteria (MRC). You will have lived continuously in the United Kingdom for the required period of time (5 years) Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
14/06/2024
Project-based
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Are you an experienced Security Control Centre Senior Alarm Operator looking for a new opportunity? Look no further! We have an exciting temporary role with our client, a leading organisation in the Utilities industry. As a SCC Senior Alarm Operator, you will play a crucial role in the Security Control Centre, contributing to the safety and security of our client's people, assets, and reputation. Reporting directly to the SCC Manager in Corporate Security, you will join a dynamic and front-line team. Security Control Centre Senior Alarm Operator 6 months (extension options) Warwick (4 days on 4 days off, 3 Shift Patterns) Rate £46,189 Here's what you'll be doing: Supporting the Team Leader and Operators during shifts. Coaching and mentoring new alarm operators to aid their development and experience. Deputising for the Team Leader when necessary. Managing TAS and fault operations systems. Handling incidents effectively. Collaborating and communicating with stakeholders on sites. Managing the service desk. Thoroughly checking alarms throughout the day to ensure their operational status. Monitoring multiple Gas sites across the UK using computer systems and CCTV. Maintaining compliance with British standards BS 50518 and 7958. Responding to alarms promptly and efficiently. Ensuring the safety of the Engineers and sites. Handling emergency situations with poise and professionalism. Providing exceptional customer service through effective telephone communication. Demonstrating good time management skills to meet deadlines. Contributing to the effectiveness of the team. Upholding a high level of accuracy and attention to detail. Remaining calm under pressure. To excel in this role, you'll need: In-depth knowledge and experience with Gallagher Alarm and Access control Systems, Synectics Video & Alarm Management, Active Directory, CCTV, Video Analytics, Perimeter Intruder Detection (PID) systems, and CNI Environment. Familiarity with the management of ISS operational service and maintenance contracts. Proficiency in using MS Office applications. Excellent verbal and written communication skills to establish and maintain successful relationships. Strong problem-solving abilities with a logical and analytical mindset. Competency in the security of Information Systems. Experience in contract management. Previous exposure to customer-focused, performance-based environments. Proficiency in bespoke security solutions. Familiarity with IT Service Management. Experience working in operations or control rooms. Desired qualifications and skills: Full UK Driving Licence. CCTV qualified and licenced (SIA Public Space Surveillance - CCTV). Control room experience. Strong qualifications or demonstrable experience in Maths, English, and IT. Previous management experience and coaching and mentoring skills. This role is subject to National Security Vetting (NSV) in addition to our standard background checks being undertaken. National Security Vetting requires that you meet the Minimum Residency Criteria (MRC). You will have lived continuously in the United Kingdom for the required period of time (5 years) Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
They've been operating very successfully across the UK and have managed to increase their headcount by 50% over the last 5 years as they continue through a significant period of growth. We've worked with this organisation for several years now and have heard great things first-hand, they have a really good technical environment , strong employee culture and as a result great retention rates. They're currently looking for a Lead Application Support Analyst to join one of their core squads, this product works around the clock and is definitely one of their business-critical platforms. It's genuinely a great opportunity for someone looking for that additional seniority within a well-structured and respected environment. Some desirable skills include: Excellent communicator Experience in service desk operations and ticket management. Scripting skills in PowerShell/Bash. Experience with Azure Active Directory and/or Windows Server 201x System administration experience Knowledge of ITIL principles You will need to be a commutable distance from either their Glasgow or Edinburgh office as they require you to be in the office at least 2 days per week . However, they do have really inviting and modern offices which makes it all worthwhile! They do have some really strong benefits too which include: Private medical insurance 34 days of holiday, including 8 public holidays Bonus scheme Extensiveaccess to learningand development platforms If it sounds of interest, please apply here or get in touch with Lewis from Cathcart Technology. Alternatively, you can email at (see below)
14/06/2024
Full time
They've been operating very successfully across the UK and have managed to increase their headcount by 50% over the last 5 years as they continue through a significant period of growth. We've worked with this organisation for several years now and have heard great things first-hand, they have a really good technical environment , strong employee culture and as a result great retention rates. They're currently looking for a Lead Application Support Analyst to join one of their core squads, this product works around the clock and is definitely one of their business-critical platforms. It's genuinely a great opportunity for someone looking for that additional seniority within a well-structured and respected environment. Some desirable skills include: Excellent communicator Experience in service desk operations and ticket management. Scripting skills in PowerShell/Bash. Experience with Azure Active Directory and/or Windows Server 201x System administration experience Knowledge of ITIL principles You will need to be a commutable distance from either their Glasgow or Edinburgh office as they require you to be in the office at least 2 days per week . However, they do have really inviting and modern offices which makes it all worthwhile! They do have some really strong benefits too which include: Private medical insurance 34 days of holiday, including 8 public holidays Bonus scheme Extensiveaccess to learningand development platforms If it sounds of interest, please apply here or get in touch with Lewis from Cathcart Technology. Alternatively, you can email at (see below)
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
13/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
13/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Senior Intapp Applications Engineer. Candidate will be responsible for the design, support, and on-going operation of the Firm's Intapp Walls, Open Intake, Conflicts and Terms platforms. This position uses technical guidance and engineering best practices to oversee or perform the design, development, build, configuration and testing. The Senior Application Engineer provides a deep understanding of the Intapp platform products and how they are being used and integrated internally and externally. Responsibilities: Provide Level 3 operational or systematic support and maintenance for the Firm's Intapp product platform (Walls, Intake, Conflicts, Terms) and other Firm applications (as applicable). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test and implement high-quality, user-friendly solutions to meet the Firm's goals and strategic objectives. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Develop and maintain procedural and configuration documentation for administered systems. The position will be instrumental in systems support, and actively managing relationships with various non-IT business departments. Build and maintain strong relationships with vendors and vendor developers, guiding them through the Firm's technology, security, and risk best practices to enhance and develop their products. Serve as the technical SME (Subject Matter Expert) for Intapp product platform and any other applications in scope. Testing, and deploying application solutions using various cloud platforms and technologies. Implementing and enforcing risk policies and standards, security policies and standards, and best practices for cloud, hybrid on on-premises environments. Identifying and mitigating risks and threats to the cloud, hybrid, and on-premises systems. Providing technical support and guidance to other teams and stakeholders. Collaborate with professionals at all levels of the organization. Utilize SQL query tools to perform frequent data analysis across various systems, providing clear and accurate data to business users. Adhere to the Firm's IT Service Delivery standards and Change Control processes. Develop and maintain troubleshooting and configuration documentation for administered systems. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team. Qualifications: The Senior Applications Engineer must have a BA/BS in computer science, related field, or equivalent experience with Ten (10) + years experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years with Cloud technologies (Azure preferred) The ideal candidate must have good judgment, problem-solving, oral, written and interpersonal communication skills, as well as the ability to work in a fast-paced environment and build positive working relationships. In addition, candidates must be self-motivated, organized, and able to multi-task and effectively prioritize competing demands. Experience with SQL, including stored procedures, functions and triggers is required. Proactive in escalating issues and pulling in support from other technical experts as required. Ability to train and guide junior software developers/analysts. Embrace a nimble mindset and adapt quickly to changing requirements and goals in a fast-paced, dynamic environment. Staying updated with the latest trend and developments in Salesforce and the cloud Must be a self-starter and able to work independently with little direction/supervision. Familiarity with various cloud platforms and services such as AWS, Azure, Google Cloud, etc. Strong problem-solving, analytical, and communication skills Technologies: Intapp Platform Products Walls, Intake, Conflicts, Terms, Workspaces Microsoft Azure Microsoft SQL Server Microsoft SQL Server Reporting Services Microsoft Active Directory Microsoft Internet Information Services Windows Server and Desktop operating system environments
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
13/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
13/06/2024
Full time
Director, Software Engineering - Quantitative Risk Management Applications SALARY: $200k - $230k flex plus 27% bonus LOCATION: Chicago, il Hybrid 3 days onsite, 2 days remote You will manage six plus people and help build the framewrok within the quantitative management platform developing software applications and solutions. Java C++ python automation devops cicd aws terraform Kubernetes SQL docker helm masters or Phd This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, backtesting and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, backtesting and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred
13/06/2024
Full time
NO SPONSORSHIP Principal, Product Manager - Financial Risk Management and Systems SALARY: $190k plus 15% bonus LOCATION: CHICAGO, IL Hybrid 3 days onsite Looking for a candidate with experience as a product manager/owner agile product manager experience financial services general security markets derivatives knowledge multiple asset classes like equities interest rates volatility commodities foreign currencies risk pillar specify control counter party clearing statements of derivatives financial risk management and regulated capital markets infrastructure Jira confluence tableau MS Applications 10 years of financial risk management Summary: The Product Owner at the will be responsible for maximizing the value of the Products delivered to our stakeholders by representing business interests, working with our technology teams to determine requirements, creating a product roadmap for development, and prioritizing the work. The Product Owner will work in a hybrid agile methodology collaborating with cross-functional teams. The Product Owner must ensure that the technology teams understand and are aligned with the Product vision and that leadership is kept aware of Product progress and status. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Stakeholder Engagement and Management o Act as the primary point of contact for stakeholders regarding the product backlog and product development o Interact with internal and external stakeholders such as regulators, exchanges and other external parties in explaining OCC's Products o Elicit, interpret, lead requirement workshop discussions with vendors, stakeholders and/or product owners; assist in the development of backlog items and acceptance criteria o Work with internal and external stakeholders to understand their needs and ensure that they are reflected in the product backlog o Maintain direct communications with senior and middle management o Coordinate preparation of materials for Management Committee, Board of Directors and Regulatory meetings as needed o Maintain Product Vision and Roadmap o Understand regulatory requirements and drivers impacting development goals and plans o Evaluate product changes and recommend needed process and system changes o Develop functional capabilities within the organization by driving innovation and continuous process improvements o Collaborate with cross-functional teams to define and prioritize the product backlog o Refine the product backlog to ensure that it is ready for development o Maintain product budget and forecast. Seek to optimize product delivery in the most cost effective manner. o Collaborate with technology partners and teams to drive strategic plans for the system development, integration and deployment o Work with the Project Owners/Managers, Technology Lead, and Scrum Master to ensure that the team is following the hybrid agile methodology and that any issues are addressed in a timely manner o Document and/or sign-off on acceptance criteria for user stories o Ensure that the product backlog is transparent, visible, and understood by all stakeholders o Ensure there is a clear traceability of requirements to deliverables o Ensure the product complies with all non-functional requirements o Comply with all product delivery controls and procedures Product Leadership Product Delivery Product Integrity Quality Management Team Leadership Qualifications: Previous experience as a Product Manager/Owner in a hybrid agile methodology is required Strong understanding of Agile product management methodologies and product development processes Excellent communication, collaboration, and presentation skills Strong interpersonal and influencing skills, including ability to interact effectively with peers, all levels of management, regulators and member firms Ability to work effectively with and lead cross-functional teams Strong analytical and problem-solving skills Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports Ability to prioritize and manage multiple tasks and projects simultaneously Ability to work independently in a fast-paced, dynamic environment Must be able to work under deadlines and manage multiple tasks Self-directed; Ability to work both independently with minimal direction or oversight in a team-oriented, collaborative environment Experience working in the financial services industry General securities markets, derivatives knowledge required Strong knowledge in multiple asset classes like equities, interest rates, volatility, commodities, and foreign currencies (Risk Pillar Specific) Experience with central counter-party clearing, settlement of derivatives, financial risk management and regulated capital markets infrastructure Willingness to roll up your sleeves and do whatever is necessary Technical Skills: Proficiency using Jira, Confluence, Tableau and Microsoft Office applications Education and/or Experience: Bachelor's degree MBA, MS or equivalent graduate degree in a relevant field preferred 10+ years of financial risk management experience leading teams and building robust business processes is required 2+ years of product management experience, preferably with Risk Management products and capabilities Demonstrated experience with ensuring effective process change management 10+ years of experience in financial services/regulated capital markets infrastructure. Experience with an exchange, regulator or clearing house preferred