Analytics Engineer €40,000-€50,000 dbt, SQL, Snowflake Porto, twice a week in office FinTech influencing global markets We are partnered exclusively with a technology company transforming payments and who's global reach spans across 120 markets to deliver a better experience for guests, shoppers, and consumers everywhere. Backed heavily by private equity investors, they have the financial capital and expertise to grow their capabilities and reach, with a real emphasis on building out a truly world class data function. The role As an Analytics Engineer, you will play a crucial role in supporting the design, development, and maintenance of scalable and efficient data models, pipelines, reports, and dashboards. This position offers the opportunity to grow within the team, honing your technical skills and contributing to the self-serve data strategy What you'll be doing You will actively contribute to the development and optimization of data models and ELT processes within a data mesh architecture, using tools such as dbt and Snowflake. You will work closely within the Analytics Engineering team to implement data solutions that adhere to best practices, standards, and coding conventions, ensuring scalability, reliability, and performance. You will collaborate with stakeholders across the organization to understand analytical requirements and contribute to effective data-driven solutions. You will participate in the implementation of data governance policies, including data quality, data lineage, and metadata management, contributing to the integrity and compliance of our data assets. You will support the scalability, security, and availability of the Data Platform in collaboration with the Data Engineering team. You will engage in continuous learning to stay updated on the latest technologies, tools, and methodologies in Analytics Engineering, aiming to contribute to the team's innovative capabilities. You will begin to take on project leadership responsibilities, driving small to medium projects to successful completion while mentoring junior members of the team. What they are looking for A solid academic foundation in computer science, information systems, engineering, machine learning, or a related quantitative field. 2-5 years of relevant commercial experience with a strong proficiency in SQL and experience using platforms such as Snowflake and BigQuery. Experience with Datamodelling and ELT processes using dbt in a data mesh environment is highly desirable. Experience with Python Scripting to automate processes. A proven ability to work collaboratively in a team environment, with excellent communication skills and a commitment to achieving team goals. An eagerness to learn, adapt, and apply new technologies and methodologies to solve business problems. A commitment to high standards of work, aspiring to take on leadership roles in project delivery and innovation. Tech Stack : dbt, SQL, Snowflake, Airflow, AWS, Tableau. DE&I is also at the heart of the business and they strongly believe that ensuring diversity of background and experience will lead to a more fun and inclusive workplace and the creation of better products for their users! If you are interested in finding out more, please apply or contact me directly! Analytics Engineer €40,000-€50,000 dbt, SQL, Snowflake Porto, twice a week in office FinTech influencing global markets Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
20/05/2024
Full time
Analytics Engineer €40,000-€50,000 dbt, SQL, Snowflake Porto, twice a week in office FinTech influencing global markets We are partnered exclusively with a technology company transforming payments and who's global reach spans across 120 markets to deliver a better experience for guests, shoppers, and consumers everywhere. Backed heavily by private equity investors, they have the financial capital and expertise to grow their capabilities and reach, with a real emphasis on building out a truly world class data function. The role As an Analytics Engineer, you will play a crucial role in supporting the design, development, and maintenance of scalable and efficient data models, pipelines, reports, and dashboards. This position offers the opportunity to grow within the team, honing your technical skills and contributing to the self-serve data strategy What you'll be doing You will actively contribute to the development and optimization of data models and ELT processes within a data mesh architecture, using tools such as dbt and Snowflake. You will work closely within the Analytics Engineering team to implement data solutions that adhere to best practices, standards, and coding conventions, ensuring scalability, reliability, and performance. You will collaborate with stakeholders across the organization to understand analytical requirements and contribute to effective data-driven solutions. You will participate in the implementation of data governance policies, including data quality, data lineage, and metadata management, contributing to the integrity and compliance of our data assets. You will support the scalability, security, and availability of the Data Platform in collaboration with the Data Engineering team. You will engage in continuous learning to stay updated on the latest technologies, tools, and methodologies in Analytics Engineering, aiming to contribute to the team's innovative capabilities. You will begin to take on project leadership responsibilities, driving small to medium projects to successful completion while mentoring junior members of the team. What they are looking for A solid academic foundation in computer science, information systems, engineering, machine learning, or a related quantitative field. 2-5 years of relevant commercial experience with a strong proficiency in SQL and experience using platforms such as Snowflake and BigQuery. Experience with Datamodelling and ELT processes using dbt in a data mesh environment is highly desirable. Experience with Python Scripting to automate processes. A proven ability to work collaboratively in a team environment, with excellent communication skills and a commitment to achieving team goals. An eagerness to learn, adapt, and apply new technologies and methodologies to solve business problems. A commitment to high standards of work, aspiring to take on leadership roles in project delivery and innovation. Tech Stack : dbt, SQL, Snowflake, Airflow, AWS, Tableau. DE&I is also at the heart of the business and they strongly believe that ensuring diversity of background and experience will lead to a more fun and inclusive workplace and the creation of better products for their users! If you are interested in finding out more, please apply or contact me directly! Analytics Engineer €40,000-€50,000 dbt, SQL, Snowflake Porto, twice a week in office FinTech influencing global markets Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Vulnerability Security Engineer - This is a long term contract vacancy requiring profound Python, Powershell and InsightVM knowledge for our Basel based client in the financial sector . Your tasks: Tuning and troubleshooting the company's VM and compliance platforms Implementing custom scripts to ensure technical settings comply with company policies and standards Developing custom logic to prioritize vulnerabilities and compliance issues Integrating compliance tool output into the company's big data platform for compliance purposes Executing queries to extract data for reporting and alerting Performing application patching for the company's vulnerability and compliance applications Your experience/knowledge: Proficient in Python with experience in PowerShell, integration work, and processing structured data such as JSON and CSV for data importing and exporting Strong background in cybersecurity, with a focus on vulnerability and compliance management Experienced with data pipelines, workflows, and modern development practices including version control and CI/CD pipelines Ability to understand user requirements and implement them effectively within an existing tech stack Knowledge of integration and processing of structured data for seamless data platform operations Familiarity with tools such as Dataiku DSS, Tableau, and the Azure security ecosystem, especially Defender suite, is a strong advantage Your soft skills: Self-starter, able to work independently and suggest solutions to problems in relation to existing systems and tools Strong drive and willingness to deliver Location: Basel, Switzerland Sector: Financial Start: ASAP or 07/2024 Duration: 08MM+ Ref .Nr.: BH21677 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
20/05/2024
Project-based
Vulnerability Security Engineer - This is a long term contract vacancy requiring profound Python, Powershell and InsightVM knowledge for our Basel based client in the financial sector . Your tasks: Tuning and troubleshooting the company's VM and compliance platforms Implementing custom scripts to ensure technical settings comply with company policies and standards Developing custom logic to prioritize vulnerabilities and compliance issues Integrating compliance tool output into the company's big data platform for compliance purposes Executing queries to extract data for reporting and alerting Performing application patching for the company's vulnerability and compliance applications Your experience/knowledge: Proficient in Python with experience in PowerShell, integration work, and processing structured data such as JSON and CSV for data importing and exporting Strong background in cybersecurity, with a focus on vulnerability and compliance management Experienced with data pipelines, workflows, and modern development practices including version control and CI/CD pipelines Ability to understand user requirements and implement them effectively within an existing tech stack Knowledge of integration and processing of structured data for seamless data platform operations Familiarity with tools such as Dataiku DSS, Tableau, and the Azure security ecosystem, especially Defender suite, is a strong advantage Your soft skills: Self-starter, able to work independently and suggest solutions to problems in relation to existing systems and tools Strong drive and willingness to deliver Location: Basel, Switzerland Sector: Financial Start: ASAP or 07/2024 Duration: 08MM+ Ref .Nr.: BH21677 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
Job Title: Delivery Engineer - F5 LTM Replacements Programme Contract: Inside IR35 Day Rate: £500 Location: Flexible/On-site at Data Centers About the Role: We are seeking a mid-level Delivery Engineer to join our established team, managing the physical replacement of Legacy F5 LTM hardware as part of our critical infrastructure upgrade program. This role is ideal for a professional with experience in highly regulated financial environments, demonstrating a strong background in delivering technical projects from design through to completion. Key Responsibilities: Own the replacement process for F5 LTM hardware, ensuring successful migration from Legacy systems (including F5-BIG-LTM-4200V, F5-BIG-LTM-5250V, and others) to new platforms. Manage pre-build activities such as discovering existing/new patching requirements, rack identification and allocation, and preparation of patching sheets. Oversee device build and configuration activities including setting up console and management connectivity, extending data and VLANs, configuring rSeries, and deploying new certificates. Coordinate the migration phase, including service mapping, scheduling migration dates, conducting pre-migration testing, and executing migrations with adherence to change management process. Handle incident management and resolution of any issues arising during or after the migration. Requirements: Proven experience in managing IT hardware replacements, preferably within financial services or other highly regulated sectors. Familiarity with F5 hardware platforms, particularly the BIG-IP and LTM series. Strong understanding of data center operations, including device and network configuration, and compliance with security standards. Excellent project management skills and the ability to manage multiple tasks simultaneously. Strong communication skills for coordinating with internal teams and external vendors.
17/05/2024
Project-based
Job Title: Delivery Engineer - F5 LTM Replacements Programme Contract: Inside IR35 Day Rate: £500 Location: Flexible/On-site at Data Centers About the Role: We are seeking a mid-level Delivery Engineer to join our established team, managing the physical replacement of Legacy F5 LTM hardware as part of our critical infrastructure upgrade program. This role is ideal for a professional with experience in highly regulated financial environments, demonstrating a strong background in delivering technical projects from design through to completion. Key Responsibilities: Own the replacement process for F5 LTM hardware, ensuring successful migration from Legacy systems (including F5-BIG-LTM-4200V, F5-BIG-LTM-5250V, and others) to new platforms. Manage pre-build activities such as discovering existing/new patching requirements, rack identification and allocation, and preparation of patching sheets. Oversee device build and configuration activities including setting up console and management connectivity, extending data and VLANs, configuring rSeries, and deploying new certificates. Coordinate the migration phase, including service mapping, scheduling migration dates, conducting pre-migration testing, and executing migrations with adherence to change management process. Handle incident management and resolution of any issues arising during or after the migration. Requirements: Proven experience in managing IT hardware replacements, preferably within financial services or other highly regulated sectors. Familiarity with F5 hardware platforms, particularly the BIG-IP and LTM series. Strong understanding of data center operations, including device and network configuration, and compliance with security standards. Excellent project management skills and the ability to manage multiple tasks simultaneously. Strong communication skills for coordinating with internal teams and external vendors.
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
17/05/2024
Full time
Lead AI Consultant Location: Bristol or Swindon (2 days a week on-site) Salary: £70,000 - £130,000 (based on experience) Sanderson are seeking an experienced Lead AI Consultant to join a leading SaaS platform provider. This is a unique opportunity to be part of a dynamic team and play a pivotal role in shaping the strategic direction of AI implementation within the business. About the Role: As the Lead AI Consultant, you will report directly to the CTO and be responsible for driving AI adoption, developing "big data" solutions, and defining API strategies. You will collaborate with senior product, technical, and operational managers to enhance the product suite with cutting-edge AI technologies. Key Responsibilities: Develop and execute the technical integration strategy. Create comprehensive "big data" solutions across products. Define internal and external API strategies. Enhance existing products through AI technologies. Design, develop, and implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machine learning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, Machine Learning Engineer, or similar role. Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in challenging projects that impact business growth. Enjoy a high degree of autonomy in defining AI strategy.
Business Development Manager - French-speaking We have teamed with one of the biggest IT distributors in the UK which is looking for a French-speaking sales professional to join their growing team Responsibilities Generate qualified leads for our clients, by confidently using SPIN and other selling techniques; Develop specific and extensive client and product knowledge depending on each campaign to ensure client needs are met; Identify new business opportunities and quick win situations, and nurture database; French speaking
17/05/2024
Full time
Business Development Manager - French-speaking We have teamed with one of the biggest IT distributors in the UK which is looking for a French-speaking sales professional to join their growing team Responsibilities Generate qualified leads for our clients, by confidently using SPIN and other selling techniques; Develop specific and extensive client and product knowledge depending on each campaign to ensure client needs are met; Identify new business opportunities and quick win situations, and nurture database; French speaking
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
Global Enterprise Partners is currently looking for an Oracle DBA for our client in the Financial services industry in Utrecht, The Netherlands As part of a DevOps team you will be supporting, designing, building, and automating the Oracle environment. Products supported within that environment include Oracle databases, Oracle Enterprise Manager, Oracle Internet Directory and Oracle Engineered Systems. ROLE You engineer the solution to be compliant with the regulatory requirements and take care of embedding the solution into the Rabobank Infrastructure and code automation environment. A part of the workload will be developing the infrastructure to support our CI/CD pipeline based on products such as Git, Ansible and Python and make it available to customers. Your day-to-day activities range from actual engineering the pipeline and coding automation scripts, but also engineering new or adapted solutions for our banking organization. As part of a self-steering service delivery team, you are responsible for the operation of our Oracle database infrastructure, which is mostly delivered on Oracle Exadata and a small number on commodity hardware. Keeping our environments, standards, and documents up to date is part of the job. Who are you You are an experienced (at least 5 years) Oracle focused DevOps engineer with extensive security knowledge and like to work in a DevOps team in a complex environment. You get enthusiastic when talking about (test-) automation options (Ansible, Python, API's, Rest, PyTest, Rspec or other). But also, a simple task automation will have your full attention You are willing to share knowledge and experience You understand that the "Cloud" will be a very large part of any infrastructure solution. You see the big picture but like to go in the details to solve complex integration issues. You are a team player who can cooperate with everybody. You like feedback as this is used to improve yourself and your team to become even better. Your English language needs to be at proficient level (B2) What you bring Must have: Good knowledge of Oracle RDBMS Technology stack products Good knowledge of Oracle Enterprise Manager Knowledge of Oracle Exadata and ZFS (Infrastructure) Knowledge of Oracle Enterprise Linux and virtualization Knowledge of Oracle Internet Directory, LDAP Knowledge of Networking Extensive experience with automation (Ansible, Azure DevOps and Python) Preferable working experience with Arcsight, Splunk and Qualys In addition to the technical skills, knowledge and experience in the following areas: Service management (ITIL) Risk, security and compliance Documentation and Knowledge Sharing Requirement analyses and Detailed design Testing And the following competence related qualities: Experience with DevOps and working Scrum (sprint planning, review, daily, retro) Customer-centric Take ownership and Result-oriented Collaboration Are you interested in this opportunity and do you meet the requirements? Please contact Marco Eindhoven of Global Enterprise Partners.
14/05/2024
Project-based
Global Enterprise Partners is currently looking for an Oracle DBA for our client in the Financial services industry in Utrecht, The Netherlands As part of a DevOps team you will be supporting, designing, building, and automating the Oracle environment. Products supported within that environment include Oracle databases, Oracle Enterprise Manager, Oracle Internet Directory and Oracle Engineered Systems. ROLE You engineer the solution to be compliant with the regulatory requirements and take care of embedding the solution into the Rabobank Infrastructure and code automation environment. A part of the workload will be developing the infrastructure to support our CI/CD pipeline based on products such as Git, Ansible and Python and make it available to customers. Your day-to-day activities range from actual engineering the pipeline and coding automation scripts, but also engineering new or adapted solutions for our banking organization. As part of a self-steering service delivery team, you are responsible for the operation of our Oracle database infrastructure, which is mostly delivered on Oracle Exadata and a small number on commodity hardware. Keeping our environments, standards, and documents up to date is part of the job. Who are you You are an experienced (at least 5 years) Oracle focused DevOps engineer with extensive security knowledge and like to work in a DevOps team in a complex environment. You get enthusiastic when talking about (test-) automation options (Ansible, Python, API's, Rest, PyTest, Rspec or other). But also, a simple task automation will have your full attention You are willing to share knowledge and experience You understand that the "Cloud" will be a very large part of any infrastructure solution. You see the big picture but like to go in the details to solve complex integration issues. You are a team player who can cooperate with everybody. You like feedback as this is used to improve yourself and your team to become even better. Your English language needs to be at proficient level (B2) What you bring Must have: Good knowledge of Oracle RDBMS Technology stack products Good knowledge of Oracle Enterprise Manager Knowledge of Oracle Exadata and ZFS (Infrastructure) Knowledge of Oracle Enterprise Linux and virtualization Knowledge of Oracle Internet Directory, LDAP Knowledge of Networking Extensive experience with automation (Ansible, Azure DevOps and Python) Preferable working experience with Arcsight, Splunk and Qualys In addition to the technical skills, knowledge and experience in the following areas: Service management (ITIL) Risk, security and compliance Documentation and Knowledge Sharing Requirement analyses and Detailed design Testing And the following competence related qualities: Experience with DevOps and working Scrum (sprint planning, review, daily, retro) Customer-centric Take ownership and Result-oriented Collaboration Are you interested in this opportunity and do you meet the requirements? Please contact Marco Eindhoven of Global Enterprise Partners.
*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.