MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize models for scalability, reliability, and real-world performance. . Implement and manage model versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such as Python. . Experience with model deployment frameworks (eg, TensorFlow Serving, TorchServe). . Knowledge of containerization and orchestration tools (eg, Docker, Kubernetes). . Familiarity with monitoring and logging tools for MLOps. . Strong collaboration and communication skills.
17/05/2024
Project-based
MLOPs Engineer (Junior to Expert level) x4 Location: Hybrid (Mainly London based - ad-hoc on-site) Duration: 6 months rolling Rate: £400pd to £1200pd DOE (Negotiable - please tell us what you are looking for) Overview: Are you a seasoned MLOps Engineer with a passion for AI and a track record of deploying, monitoring, and maintaining of machine learning models in production environments for optimal performance? As an MLOps Engineer, youll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact. What You'll Do: . Deploy and maintain machine learning models in production environments. . Implement monitoring solutions to track model performance and detect anomalies. . Collaborate with data scientists and engineers to streamline the model deployment process. . Optimize models for scalability, reliability, and real-world performance. . Implement and manage model versioning and rollback procedures. . Troubleshoot and resolve issues related to model inference and data pipelines. . Stay updated on the latest developments in MLOps and implement best practices for model life cycle management. What You'll Bring: . 5+ years of experience in MLOps or a related field. . Masters or higher degree in Computer Science, Machine Learning, or a related field. . Solid understanding of machine learning concepts and model deployment. . Proficiency in programming languages such as Python. . Experience with model deployment frameworks (eg, TensorFlow Serving, TorchServe). . Knowledge of containerization and orchestration tools (eg, Docker, Kubernetes). . Familiarity with monitoring and logging tools for MLOps. . Strong collaboration and communication skills.
C# Quantitative Developer - C#, Python, Java, C++, CI/CD, AWS, Kubernetes, Azure, Algorithms I am working closely with a top FinTech company based in Central London who are looking for a Quantitative Developer to join the Analytics team. As part of the Analytics team, you will be responsible for building out their new analytics libraries and platform, expanding product coverage and developing a full suite of tools to support efficient pricing, calculation of risk and behaviour analysis for large portfolios of instruments. Required Skills and Experience: Studies in a STEM subject, ideally to Masters or PhD level Excellent C#, Python, C++ or Java experience 1-3 years' experience working in a role as a quantitative developer Experience working with AWS and Kubernetes Experience with CI/CD tool-chains Knowledge of distributed systems and risk calculation would be valuable Familiarity with risk calculations, modelling and financial terminology and individual asset classes. Strong numerical literacy, particularly as regards algorithms, is also desirable. London/Hybrid Permanent By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
17/05/2024
Full time
C# Quantitative Developer - C#, Python, Java, C++, CI/CD, AWS, Kubernetes, Azure, Algorithms I am working closely with a top FinTech company based in Central London who are looking for a Quantitative Developer to join the Analytics team. As part of the Analytics team, you will be responsible for building out their new analytics libraries and platform, expanding product coverage and developing a full suite of tools to support efficient pricing, calculation of risk and behaviour analysis for large portfolios of instruments. Required Skills and Experience: Studies in a STEM subject, ideally to Masters or PhD level Excellent C#, Python, C++ or Java experience 1-3 years' experience working in a role as a quantitative developer Experience working with AWS and Kubernetes Experience with CI/CD tool-chains Knowledge of distributed systems and risk calculation would be valuable Familiarity with risk calculations, modelling and financial terminology and individual asset classes. Strong numerical literacy, particularly as regards algorithms, is also desirable. London/Hybrid Permanent By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
17/05/2024
Project-based
Senior Document Controller Initial 12 month contract Leatherhead (Hybrid) £30 per hour. Umbrella. Advantage Resourcing are working in partnership with a large engineering organisation who are currently seeking a Document Controller to work on an offshore project Your responsibilities will include: Under broad direction, oversees and performs the full range of activities with associated with document management work on a Project. Coordinate execution of the document management plan and procedures. Collaborates within the department, and the Client and customer, to ensure work processes are aligned with project processes and contractual requirements. Ensure document management deliverables are understood and delivered to contract, quality, and schedule requirements. Ensures the correct implementation, utilization, maintenance and use of the Document Management processes, systems, tools eg, IPMS, Documentum, SharePoint etc. This role is to support client with their document management system and processes and to interface with engineering contractors. Skills Required: Communicate/liaison with Project Management & Team, Client and Sub-Contractors effectively and resolve problems & issues relating to documentation, information and associated data. Proficient in Engineering & Supplier Document distribution management. Define and develop Project Document reports and statistics. Work within an integrated, multi-location, Document Management team. Communicates regularly with Document Management employees in various global offices by use of briefing sessions to share knowledge, best practices and lessons learned. Production and update of Master Document Register. Manage development and update of Distribution Matrix Production and update of Supplier SDRL/SDLs within Project EDMS Operate Document Request for Release process. If you are a Senior Document Controller seeking a new opportunity, please apply now. Reference: 72884 Hafsa Akram
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 Principal Java Risk Management Software Engineer. Candidate will develop and maintain 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. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, 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. 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.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Principal Java Risk Management Software Engineer. Candidate will develop and maintain 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. Candidate will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand the technical capabilities for model development, back-testing and monitoring. 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, 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. 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.
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.
16/05/2024
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
16/05/2024
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
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. 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). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
16/05/2024
Full time
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. 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. 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. cloud environment. 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). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
SAP Utilities Solution Consultant Skills: SAP ISU, S4 HANA Utilities My client seeks a SAP ISU expert to work on their S4 HANA project from the first phase, gathering requirements from stakeholders and translate them into effective solutions. You will design and blueprint solutions tailored to meet organizational needs. Provide comprehensive documentation including BPP, CDD, and FSD, along with delivering training sessions. Guide and support testing teams to ensure robust testing processes. Offer functional and technical support to teams, focusing on issue analysis, defect resolution, and productivity enhancements. Experience - Proficiency in SAP Utilities solution with a strong emphasis on SAP S/4HANA Utilities. - Comprehensive understanding of SAP IS-U modules and sub-modules. - Expertise in major configuration objects and SAP IS-U data model. - Familiarity with SAP IS-U business and technical master data. - Knowledge of device data, energy data management, billing, invoicing processes, and FICA objects. - Ability to oversee utility processes from end to end. - Experience with IS-U data migration sequences and object dependencies. - Strong analytical and process improvement skills. - Capability to optimize solutions through effective configuration strategies - Familiarity with S/4HANA Utilities and integration points within utilities systems
16/05/2024
Project-based
SAP Utilities Solution Consultant Skills: SAP ISU, S4 HANA Utilities My client seeks a SAP ISU expert to work on their S4 HANA project from the first phase, gathering requirements from stakeholders and translate them into effective solutions. You will design and blueprint solutions tailored to meet organizational needs. Provide comprehensive documentation including BPP, CDD, and FSD, along with delivering training sessions. Guide and support testing teams to ensure robust testing processes. Offer functional and technical support to teams, focusing on issue analysis, defect resolution, and productivity enhancements. Experience - Proficiency in SAP Utilities solution with a strong emphasis on SAP S/4HANA Utilities. - Comprehensive understanding of SAP IS-U modules and sub-modules. - Expertise in major configuration objects and SAP IS-U data model. - Familiarity with SAP IS-U business and technical master data. - Knowledge of device data, energy data management, billing, invoicing processes, and FICA objects. - Ability to oversee utility processes from end to end. - Experience with IS-U data migration sequences and object dependencies. - Strong analytical and process improvement skills. - Capability to optimize solutions through effective configuration strategies - Familiarity with S/4HANA Utilities and integration points within utilities systems
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
15/05/2024
Full time
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
15/05/2024
Full time
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. 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). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
14/05/2024
Full time
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs 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. 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. cloud environment. 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). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities 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, back testing, and monitoring.
14/05/2024
Full time
Senior Software Developer - Quantitative Risk Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *This role is open to sponsorship candidates* Qualifications Master's degree in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas 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.). Bonus points Experience with Scripting languages such as Python. Experience with numerical libraries and/or scientific computing. Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities 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, back testing, and monitoring.
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
14/05/2024
Full time
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
Materials Requirements Planning controller (MRP) Stevenage - 5 days onsite 12 Month contract £24 per hour. Umbrella. Certain Advantage are seeking a Materials Requirements Planning Controller to join a well-known establishment based in Stevenage. You will be responsible for the following: Management and co-ordination of all planning related activities to deliver the Manufacturing Planning Schedule (MPS) to time, cost, and quality. Co-ordination and execution of all activities related to the planning and procurement of materials. Ensuring the timely and adequate supply of materials so manufacturing can output the Master Production Schedule (MPS). Release, manage and schedule all work in the MRP system, and ensure delivery forecasts are maintained and communicated to customers. Ensure efficient and affective material inventories in line with inventory targets whilst minimising excess waste and costs. Maintain accuracy of the MRP system by conducting regular stock checks. Work closely with the Supply Planner to communicate potential plan changes and resolve constraints in the supply chain. Identify risks related to supplied parts to the planning and control team lead for escalation within the sales and ops process. Work closely with Goods Receiving, stores and despatch (Logistic Services) to manage inventory levels, resolve queries, maintain MRP system accuracy and ensure the required paperwork is submitted for stores and despatch related transactions. Support effective non-conformance management controls. Maintain the manufacturing bill of materials and manufacturing strategy by ensuring master data is topical. Support the achievement of schedule adherence, inventory, and delivery KPIs through the execution of the planning process. Skills: Relevant experience in Manufacturing planning, Supply chain management or a related position. APICs supply chain certification desirable but not essential to the role. Experience in the use of SAP would be beneficial. Proficiency in Microsoft office and MRP systems. Good Planning and organising skills. Communication skills both verbally and in writing. Analytical and problem-solving skills. Attention to detail If you are a Materials Requirements Planning Controller seeking a new opportunity, please apply now. Reference: 72835 Hafsa Akram
14/05/2024
Project-based
Materials Requirements Planning controller (MRP) Stevenage - 5 days onsite 12 Month contract £24 per hour. Umbrella. Certain Advantage are seeking a Materials Requirements Planning Controller to join a well-known establishment based in Stevenage. You will be responsible for the following: Management and co-ordination of all planning related activities to deliver the Manufacturing Planning Schedule (MPS) to time, cost, and quality. Co-ordination and execution of all activities related to the planning and procurement of materials. Ensuring the timely and adequate supply of materials so manufacturing can output the Master Production Schedule (MPS). Release, manage and schedule all work in the MRP system, and ensure delivery forecasts are maintained and communicated to customers. Ensure efficient and affective material inventories in line with inventory targets whilst minimising excess waste and costs. Maintain accuracy of the MRP system by conducting regular stock checks. Work closely with the Supply Planner to communicate potential plan changes and resolve constraints in the supply chain. Identify risks related to supplied parts to the planning and control team lead for escalation within the sales and ops process. Work closely with Goods Receiving, stores and despatch (Logistic Services) to manage inventory levels, resolve queries, maintain MRP system accuracy and ensure the required paperwork is submitted for stores and despatch related transactions. Support effective non-conformance management controls. Maintain the manufacturing bill of materials and manufacturing strategy by ensuring master data is topical. Support the achievement of schedule adherence, inventory, and delivery KPIs through the execution of the planning process. Skills: Relevant experience in Manufacturing planning, Supply chain management or a related position. APICs supply chain certification desirable but not essential to the role. Experience in the use of SAP would be beneficial. Proficiency in Microsoft office and MRP systems. Good Planning and organising skills. Communication skills both verbally and in writing. Analytical and problem-solving skills. Attention to detail If you are a Materials Requirements Planning Controller seeking a new opportunity, please apply now. Reference: 72835 Hafsa Akram
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
13/05/2024
Project-based
DevSecOps Senior & Team Lead (Public Transport) 50% remote, 50% on-site in Brussels Do you want to lead a high-performing DevSecOps team and make a real impact in the public transport sector? We are looking for a talented and experienced DevSecOps Senior & Team Lead to join my client's team. In this role, you will be responsible for leading a team of technical professionals and driving innovation in our DevSecOps practices. About the role Lead and motivate a team of 6-10 engineers (junior, mid-level, and senior) Foster a collaborative and positive work environment Ensure efficient and timely delivery of projects Manage budgets and resources effectively Possess excellent communication and interpersonal skills Be able to work effectively under pressure and prioritize tasks Work with a customer-centric approach and maintain confidentiality Technical Skills and Experience Master's degree in engineering or computer science (or equivalent experience) Proven experience leading a technical team Experience with Agile methodologies Strong understanding of Linux operating systems (Red Hat) and Scripting (Bash, Python) Fluency in Dutch, French, and English Solid experience with cybersecurity for OT infrastructure Experience working in a production environment Basic knowledge of Javascript and Java Basic understanding of network administration (Routers, Switches, VPNs, Firewalls) A plus: Certifications: CISSP, CISM, ISO 27001 Experience with DevSecOps tools: Puppet (open source), Ansible Monitoring tools: Zabbix, Nagios Logging and analytics: Elastic Stack (including Kibana) Database technologies: MySQL, PostgreSQL Atlassian suite (Jira, Confluence, Git) VMWare (vCenter) Git version control Configuration Management Databases (CMDBs) like GLPI For immediate consideration, please forward your latest CV.
*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.
10/05/2024
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.
Start: ASAP Duration: 6 Months (Possible extensions) Location: Mexico City Telecommuting: Hybrid Language Proficiency: English (Fluent), Spanish (Fluent) Mission: As a Senior SAP FICO consultant, your mission is to play a pivotal role within the consulting team by contributing to problem discovery and definition, evaluating solution options, and providing recommendations. Technical Proficiencies: Minimum 8+ years' experience in SAP FI and CO modules Minimum of 3 full SAP E2E implementation experience with at least 2 implementations on SAP FICO, preferably in a lead role Expertise in Record to Report Macro Process (R2R) Proficiency in General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), and Asset Accounting Comprehensive understanding of controlling areas including Product Costing, COPA, Profit Centre, Cost Centre Accounting, and Internal Order Management Familiarity with LATAM legal & statutory localization requirements with at least 5+ years of working experience Strong business process knowledge in accounting, finance, and controlling Experience in SAP's customizing toolset, including IMG (Implementation Management Guide) Proficiency in working with interfaces and integration with third-party systems Excellent English and Spanish communication skills for effective interaction with local business users and the global team Planning and co-ordination skills for successful project execution Desired Candidate Attributes : Ability to independently lead the module and drive business requirements workshops Proficient in system customizing, functional specifications development, and interaction with business stakeholders Experience in testing, training business users, master data management, go-live support, and post-go-live support Capability to lead teams and address customer concerns effectively Experience in requirement specifications creation, blueprint preparation, and solution documentation Knowledge of LSMW and other migration tools Familiarity with SAP technical aspects such as debugging, user-exits/BADIs, and enhancements Exposure to FSCM, SAP HANA, and other SAP modules is desirable Additional domain experience will be advantageous Language: Fluent in English and Spanish for seamless communication with both local and global teams.
08/05/2024
Project-based
Start: ASAP Duration: 6 Months (Possible extensions) Location: Mexico City Telecommuting: Hybrid Language Proficiency: English (Fluent), Spanish (Fluent) Mission: As a Senior SAP FICO consultant, your mission is to play a pivotal role within the consulting team by contributing to problem discovery and definition, evaluating solution options, and providing recommendations. Technical Proficiencies: Minimum 8+ years' experience in SAP FI and CO modules Minimum of 3 full SAP E2E implementation experience with at least 2 implementations on SAP FICO, preferably in a lead role Expertise in Record to Report Macro Process (R2R) Proficiency in General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), and Asset Accounting Comprehensive understanding of controlling areas including Product Costing, COPA, Profit Centre, Cost Centre Accounting, and Internal Order Management Familiarity with LATAM legal & statutory localization requirements with at least 5+ years of working experience Strong business process knowledge in accounting, finance, and controlling Experience in SAP's customizing toolset, including IMG (Implementation Management Guide) Proficiency in working with interfaces and integration with third-party systems Excellent English and Spanish communication skills for effective interaction with local business users and the global team Planning and co-ordination skills for successful project execution Desired Candidate Attributes : Ability to independently lead the module and drive business requirements workshops Proficient in system customizing, functional specifications development, and interaction with business stakeholders Experience in testing, training business users, master data management, go-live support, and post-go-live support Capability to lead teams and address customer concerns effectively Experience in requirement specifications creation, blueprint preparation, and solution documentation Knowledge of LSMW and other migration tools Familiarity with SAP technical aspects such as debugging, user-exits/BADIs, and enhancements Exposure to FSCM, SAP HANA, and other SAP modules is desirable Additional domain experience will be advantageous Language: Fluent in English and Spanish for seamless communication with both local and global teams.
Content Publication and Syndication Lead - 12months + Global Enterprise Partners is currently looking for a Content Publication and Syndication Lead for an assignment with a large consumer goods organization. You will be a change agent responsible for driving utilization and adoption of Product Information Management and Digital Asset Management Systems to ensure it is the source of the most accurate, complete and up to date information for our customer business teams, Commercial, Marketing and digital commerce teams across the organization. Requirements Content Publication and Syndication Lead Role: Knowledge of Master Data operations & how master data are leveraged to create business outcomes Proven experience partnering with Digital Commerce/R&D/Brand Management/Marketing/Commercial teams in delivering internally master data services and externally digital product data to customers across most demanding markets 5+ years of professional experience in business processes operations, with relevant experience in Master Data Management & process transformation, ideally in the consumer goods industry Experience in PIM/DAM/GSDN solutions and/or other product data solutions Details Content Publication and Syndication Lead Role: Start date: ASAP (Flexible) Duration: Initially 12 months (with extensions) Hours per week: 40 hours Location: Remote (USA) Type of contract: Freelancer (W2 or C2C) Rate: Open Interested? If this role as Content Publication and Syndication Lead is of your interest, please apply directly via the link and/or get in touch with Eva Donaque via phone or email
25/04/2024
Project-based
Content Publication and Syndication Lead - 12months + Global Enterprise Partners is currently looking for a Content Publication and Syndication Lead for an assignment with a large consumer goods organization. You will be a change agent responsible for driving utilization and adoption of Product Information Management and Digital Asset Management Systems to ensure it is the source of the most accurate, complete and up to date information for our customer business teams, Commercial, Marketing and digital commerce teams across the organization. Requirements Content Publication and Syndication Lead Role: Knowledge of Master Data operations & how master data are leveraged to create business outcomes Proven experience partnering with Digital Commerce/R&D/Brand Management/Marketing/Commercial teams in delivering internally master data services and externally digital product data to customers across most demanding markets 5+ years of professional experience in business processes operations, with relevant experience in Master Data Management & process transformation, ideally in the consumer goods industry Experience in PIM/DAM/GSDN solutions and/or other product data solutions Details Content Publication and Syndication Lead Role: Start date: ASAP (Flexible) Duration: Initially 12 months (with extensions) Hours per week: 40 hours Location: Remote (USA) Type of contract: Freelancer (W2 or C2C) Rate: Open Interested? If this role as Content Publication and Syndication Lead is of your interest, please apply directly via the link and/or get in touch with Eva Donaque via phone or email