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 Java Developer. 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 5+ 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.
04/07/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Java Developer. 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 5+ 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
04/07/2024
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
London or Hampshire - £100-120k basic + bonus Leading Wealth Manager is seeking a Tech Lead/Lead Developer with Python and Django/other web framework to be based 2 days per week in either their London or Hampshire/Hants offices. Great opportunity to get into financial services as ALL industry backgrounds considered, however must have 2+ years team leading at least 2-3 software engineers Role Overview We are seeking a highly skilled and experienced Senior or Lead Developer who be responsible for overseeing the development process, guiding the team, and ensuring the successful delivery of high-quality software solutions. The ideal candidate will have a strong background in software development, using python and Django (or other similar/open source web framework) with some experience of mentoring more junior team members. Person Specification At least 2 years' experience in a Senior or (ideally) Lead Developer position At least 5 years' development experience, to include outstanding coding skills in developing Python Django and an appropriate Front End framework Experience of managing, motivating and leading a small team Relevant experience of working in a fast-moving, dynamic (ideally start up or similar) environment The successful candidate will be responsible for the following: Day to day management and leadership of the developers in the team, reporting into the Chief Technology Officer Provide mentoring and technical guidance to the team, including giving advice on specific technical queries Ensure team adherence to QA guidelines: Architect, design, and develop software applications, ensuring adherence to coding standards, best practices, and project requirements. Identify technical debt and inefficiencies in existing systems and propose solutions for improvement. Ensure appropriate testing support is in place: Drive the implementation of automated testing, continuous integration, and deployment processes to improve efficiency and quality. Set and enforce coding standards for the team Delivery of agreed web development activity, including the building and configuration of applications Scrum master duties, as require Ensure project and sprint milestones are achieved Input into the architecture and infrastructure required to scale the platform Liaison with the BA team and other key business stakeholders Documentation of technical specifications Creation of career paths and professional development opportunities in order to upskill and scale the team Deputise for the CTO, as required Experience with cloud technologies and platforms such as AWS, Azure, or Google Cloud Platform. Solid understanding of DevOps principles and experience with CI/CD pipelines.
02/07/2024
Full time
London or Hampshire - £100-120k basic + bonus Leading Wealth Manager is seeking a Tech Lead/Lead Developer with Python and Django/other web framework to be based 2 days per week in either their London or Hampshire/Hants offices. Great opportunity to get into financial services as ALL industry backgrounds considered, however must have 2+ years team leading at least 2-3 software engineers Role Overview We are seeking a highly skilled and experienced Senior or Lead Developer who be responsible for overseeing the development process, guiding the team, and ensuring the successful delivery of high-quality software solutions. The ideal candidate will have a strong background in software development, using python and Django (or other similar/open source web framework) with some experience of mentoring more junior team members. Person Specification At least 2 years' experience in a Senior or (ideally) Lead Developer position At least 5 years' development experience, to include outstanding coding skills in developing Python Django and an appropriate Front End framework Experience of managing, motivating and leading a small team Relevant experience of working in a fast-moving, dynamic (ideally start up or similar) environment The successful candidate will be responsible for the following: Day to day management and leadership of the developers in the team, reporting into the Chief Technology Officer Provide mentoring and technical guidance to the team, including giving advice on specific technical queries Ensure team adherence to QA guidelines: Architect, design, and develop software applications, ensuring adherence to coding standards, best practices, and project requirements. Identify technical debt and inefficiencies in existing systems and propose solutions for improvement. Ensure appropriate testing support is in place: Drive the implementation of automated testing, continuous integration, and deployment processes to improve efficiency and quality. Set and enforce coding standards for the team Delivery of agreed web development activity, including the building and configuration of applications Scrum master duties, as require Ensure project and sprint milestones are achieved Input into the architecture and infrastructure required to scale the platform Liaison with the BA team and other key business stakeholders Documentation of technical specifications Creation of career paths and professional development opportunities in order to upskill and scale the team Deputise for the CTO, as required Experience with cloud technologies and platforms such as AWS, Azure, or Google Cloud Platform. Solid understanding of DevOps principles and experience with CI/CD pipelines.
Global Data Quality & Data Management Specialist Preferred start date: end of May/early June End date/period: 4 months + option to extend Hybrid working - 2/3 days in Eindhoven per week Our client enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for Embedded applications, our client is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.29 billion in 2023. Our client has initiated its digital transformation in 2021, with a strategic investment in modernizing its digital infrastructure. One of the key pillars of its Digital Transformation is Enterprise Data, which resulted mid-2023 in the set-up of a Central Data Office, headed by a CDO. This newly formed team aims at maximizing the power of data, analytics, AI and ML, to enable making informed decisions, to improve our customers and employee experience, operational efficiency as well of growth. The Central Data Office team is structured around key areas of capabilities, such as Data Analytics Portfolio, Data Platforms, Data Architecture, Data Literacy and Data Governance. We are looking for a Global Data Quality Specialist, to complement their Data Governance team. The Data Quality Specialist will be ensuring adherence to our client's enterprise data governance framework for data practices, policies, standards and data quality improvement, both at a technical and functional level. Your key responsibilities : . Engage with internal stakeholders of our data domains, supporting implementation of the overall enterprise data quality roadmap . Help establish the roles and responsibilities as well as principles related to Data Quality in our data domains, ensuring accountability for the development of data stewardship and data assets of our client . Facilitate the development and implementation of high Data Quality standards to ensure reliability, consistency, and completeness, in close collaboration with Data Governance: definition of business rules, use of corporate tools, development of data quality dashboards, adoption of policies and best practices, applied at raw data (including data profiling) as well as data products . Help implement detailed data quality knowledge to key stakeholders including data stewards, owners and sometimes even Project Owners at a higher level. Securing consistency and effectiveness by using workflow, processes (issues management: identification and resolution, escalation process), life cycle management . Help establish data quality metrics, monitor frequently, ensure adoption to quality requirements, coordinate improvement plans Your team: You will report to the Data Governance, Literacy & Change management Manager. Together, you will make critical contribution to the implementation of the Data Strategy and Digital Transformation journey at our client. The team offers high level of energy and passion, open collaboration environment and opportunities to learn from each other for personal growth. Your profile: * Have Master degree in Data management/Analytics, Information Technology, Mathematics, Statistics or related field, and 5-10 years of experience in the industry or a service company in close relation with Data Quality and Data Management in a Data Mesh environment * Strong understanding of data governance & data management practices, with demonstrated experience in implementing Data Quality in federated data domains * Knowledge and understanding of data and technological landscape (DTAP) of transactional systems, data management, processes and data analytics consumption * Knowledge of data quality related frameworks, best practices, privacy, regulatory requirements (such as SOX or GDPR) and emerging technologies such as AI/ML and Generative AI * Strong communication skills used to drive change & guide data (quality) stewardship * Demonstrate interpersonal capacities to collaborate and relate openly with diverse groups of international stakeholders across organizations * With strong attention to detail and accuracy, you are reliable, accountable, a curious and persistent team player, proactive, structured, with drive and autonomy. Your hands-on mentality help you achieve results together with your project team * Have a strong drive to work out loud while gaining control and governing of your data landscape * Be able to seamlessly explain various Data Quality Dimensions and provide easy examples to get stakeholders to adopt and make swift steps forward in consistent scorecard * At least 1 year of experience with Informatica IDQ and/or CDQ in an enterprise environment * Experience with Enterprise Data Governance Solutions such as Informatica Cloud Data Governance & Catalog, Axon, Collibra, Alation or others * Agile/SCRUM Project management (including Jira tool) would be a plus * Experience within the Semiconductor industry as a nice-to-have
01/07/2024
Contractor
Global Data Quality & Data Management Specialist Preferred start date: end of May/early June End date/period: 4 months + option to extend Hybrid working - 2/3 days in Eindhoven per week Our client enables a smarter, safer and more sustainable world through innovation. As the world leader in secure connectivity solutions for Embedded applications, our client is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.29 billion in 2023. Our client has initiated its digital transformation in 2021, with a strategic investment in modernizing its digital infrastructure. One of the key pillars of its Digital Transformation is Enterprise Data, which resulted mid-2023 in the set-up of a Central Data Office, headed by a CDO. This newly formed team aims at maximizing the power of data, analytics, AI and ML, to enable making informed decisions, to improve our customers and employee experience, operational efficiency as well of growth. The Central Data Office team is structured around key areas of capabilities, such as Data Analytics Portfolio, Data Platforms, Data Architecture, Data Literacy and Data Governance. We are looking for a Global Data Quality Specialist, to complement their Data Governance team. The Data Quality Specialist will be ensuring adherence to our client's enterprise data governance framework for data practices, policies, standards and data quality improvement, both at a technical and functional level. Your key responsibilities : . Engage with internal stakeholders of our data domains, supporting implementation of the overall enterprise data quality roadmap . Help establish the roles and responsibilities as well as principles related to Data Quality in our data domains, ensuring accountability for the development of data stewardship and data assets of our client . Facilitate the development and implementation of high Data Quality standards to ensure reliability, consistency, and completeness, in close collaboration with Data Governance: definition of business rules, use of corporate tools, development of data quality dashboards, adoption of policies and best practices, applied at raw data (including data profiling) as well as data products . Help implement detailed data quality knowledge to key stakeholders including data stewards, owners and sometimes even Project Owners at a higher level. Securing consistency and effectiveness by using workflow, processes (issues management: identification and resolution, escalation process), life cycle management . Help establish data quality metrics, monitor frequently, ensure adoption to quality requirements, coordinate improvement plans Your team: You will report to the Data Governance, Literacy & Change management Manager. Together, you will make critical contribution to the implementation of the Data Strategy and Digital Transformation journey at our client. The team offers high level of energy and passion, open collaboration environment and opportunities to learn from each other for personal growth. Your profile: * Have Master degree in Data management/Analytics, Information Technology, Mathematics, Statistics or related field, and 5-10 years of experience in the industry or a service company in close relation with Data Quality and Data Management in a Data Mesh environment * Strong understanding of data governance & data management practices, with demonstrated experience in implementing Data Quality in federated data domains * Knowledge and understanding of data and technological landscape (DTAP) of transactional systems, data management, processes and data analytics consumption * Knowledge of data quality related frameworks, best practices, privacy, regulatory requirements (such as SOX or GDPR) and emerging technologies such as AI/ML and Generative AI * Strong communication skills used to drive change & guide data (quality) stewardship * Demonstrate interpersonal capacities to collaborate and relate openly with diverse groups of international stakeholders across organizations * With strong attention to detail and accuracy, you are reliable, accountable, a curious and persistent team player, proactive, structured, with drive and autonomy. Your hands-on mentality help you achieve results together with your project team * Have a strong drive to work out loud while gaining control and governing of your data landscape * Be able to seamlessly explain various Data Quality Dimensions and provide easy examples to get stakeholders to adopt and make swift steps forward in consistent scorecard * At least 1 year of experience with Informatica IDQ and/or CDQ in an enterprise environment * Experience with Enterprise Data Governance Solutions such as Informatica Cloud Data Governance & Catalog, Axon, Collibra, Alation or others * Agile/SCRUM Project management (including Jira tool) would be a plus * Experience within the Semiconductor industry as a nice-to-have