The Company is a leading financial services firm. The technology is being transformed to a Cloud-First, Cloud-Native architectural model, utilizing DevSecOps processes and adoption of systems-thinking concepts to enhance productivity. The Cloud Engineers are responsible for delivering Cloud-native solutions that are fully automated through code, ensuring scalability and optimize availability and reliability 24/7. Responsibilities: - Have broad responsibilities to engineer and secure core platform services across the global footprint. - Ensure compute infrastructure is continually optimized to match business demands. - Design and operate storage strategy to optimize data storage based on latency, redundancy, and cost. - Collaborate with Cloud Security Engineering to automate vulnerability patching processes. - Optimize global network to ensure latency and performance meet business expectations. - Automate operational aspects of the infrastructure and systems life cycle. - Maintain Azure tagging/naming taxonomies across all Cloud assets. - Respond to incidents and ensure availability across the global infrastructure, providing support for service analysts on customer incidents. - Build and infrastructure with automation tools like PowerShell, Ansible, Terraform, Azure DevOps CI/CD, and Kubernetes. - Document actions to turn findings into repeatable and automated processes. - Design, build, and maintain core infrastructure to enable scaling and support business growth. - Debug production issues across services and levels of the stack. Qualifications: - Strong knowledge of virtualization, containerization technologies on Azure. - Proficiency in object-oriented programming and developing automated solutions through code. - Passion for secure network design and protecting organizations from evolving cyber threats. - Continual learning and advancement of Microsoft Azure technologies like Compute, Storage, Networking. - Interest in Open-Source development and industry innovation. - Knowledge of configuration management systems like Ansible. - Collaborative and able to communicate effectively and asynchronously.
14/05/2024
Full time
The Company is a leading financial services firm. The technology is being transformed to a Cloud-First, Cloud-Native architectural model, utilizing DevSecOps processes and adoption of systems-thinking concepts to enhance productivity. The Cloud Engineers are responsible for delivering Cloud-native solutions that are fully automated through code, ensuring scalability and optimize availability and reliability 24/7. Responsibilities: - Have broad responsibilities to engineer and secure core platform services across the global footprint. - Ensure compute infrastructure is continually optimized to match business demands. - Design and operate storage strategy to optimize data storage based on latency, redundancy, and cost. - Collaborate with Cloud Security Engineering to automate vulnerability patching processes. - Optimize global network to ensure latency and performance meet business expectations. - Automate operational aspects of the infrastructure and systems life cycle. - Maintain Azure tagging/naming taxonomies across all Cloud assets. - Respond to incidents and ensure availability across the global infrastructure, providing support for service analysts on customer incidents. - Build and infrastructure with automation tools like PowerShell, Ansible, Terraform, Azure DevOps CI/CD, and Kubernetes. - Document actions to turn findings into repeatable and automated processes. - Design, build, and maintain core infrastructure to enable scaling and support business growth. - Debug production issues across services and levels of the stack. Qualifications: - Strong knowledge of virtualization, containerization technologies on Azure. - Proficiency in object-oriented programming and developing automated solutions through code. - Passion for secure network design and protecting organizations from evolving cyber threats. - Continual learning and advancement of Microsoft Azure technologies like Compute, Storage, Networking. - Interest in Open-Source development and industry innovation. - Knowledge of configuration management systems like Ansible. - Collaborative and able to communicate effectively and asynchronously.
*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.
Role: OCI Platform Admin Snr. Engineer Job Type: Contract Day Rate: £450/day [Inside IR35] Duration: 6 months Work Location: London, United Kingdom Note: Candidate should be immediate available SC cleared staff strongly preferred Only. Please make sure below criteria's are met before sharing any profile. 1. Candidate should be keen to travel twice a week to London office. 2. Rate: mentioned against Job description (inside IR35) Please do not share any profiles above the range 3. Consultant needs to be SC cleared and please share below details while sharing profile and kindly follow below format ONLY. 4. Please share SC certificate/Snapshot - Mandatory Name: Contact No: Email Id: Total Years of Experience Vendor Name Years of experience in Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. Years of experience in PaaS and SaaS services Years of Experience in Configure, manage, audit and alert on the availability and performance of the OCI environment. Years of Experience in Develop and implement automation processes to simplify the management of cloud-based infrastructure. Worked with BOE: Yes/No If yes - Reason for leaving BOE Certification in Azure - Yes/NO SC Status: Active/Eligible/Lapse SC Ref number UKSV Snap shot SC Issuing Authority SC last used SC Date of issue & Date of expiry Notice Period Willing to work in client location- 2 days onsite Email confirmation from candidate before client int/v Visa Day Rate/Salary Current Location Current Company Open for Permanent/Contract Current offers/Interviews in pipeline Interview availability Holidays booked OCI Platform Admin Snr. Engineer Programme Overview The Finance Transformation programme is implementing the Oracle Fusion ERP suite for Financials, Procurement and Recruitment over an 18-month period, building on the Oracle HCM tools already in place. These tools will facilitate significant transformation across Finance and the wider Bank business areas. The programme will be managing that transformation change as well as the configuration of the Oracle toolset. Role Summary We are looking for an OCI Platform Admin Engineer to be part of the Programme Management team of the Finance Modernisation Programme to build and manage cloud-based infrastructure, working alongside a fantastic programme team and reporting into the Technology ERP Platform Lead. The Finance Modernisation Programme is a major programme that offers unique learning opportunities due to its scale and complexity and use of Cloud applications and services. Job description Skilled and experienced in a wide variety of Tech Oracle Cloud solutions, you will support a broad range of services, which will include: OCI Management: - Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. - Work as part of a team to implement and manage OCI PaaS and SaaS services. - Ensure these are optimized for OCI and that they meet Bank's requirements. - Know how to proficiently use and supervise the use of container deployment and orchestration platforms (eg Kubernetes). - Manage backup and DR strategies using Oracle Managed Automatic Backups as well as Object Storage and Autonomous Data Guard OCI Monitoring: - Configure, manage, audit and alert on the availability and performance of the OCI environment. - Manage the performance of OCI resources, diagnosing and troubleshooting issues. - Make changes to optimize system/platform performance. Automate: - Develop and implement automation processes to simplify the management of cloud-based infrastructure. Control costs: - Understand and optimize costs by looking at the main cost drivers and working with all stakeholders involved to ensure best use of resources, for example: o Understand data egress and API requests and how these components factor into cloud billing. o Learn how pricing differs from Cloud VMs and serverless functions and how to right-size a VM instance to reduce costs. o Learn about Oracle price models around storage and know how to utilize them to design and run cost effective cloud workloads. Collaborate with other IT teams: - Work closely with other teams in IT, including application developers and devops (eg ACS) as well as Cyber or IT Infra engineers to ensure OCI meets Bank's requirements and can support its goals - Act as a single point of contact for external partners looking to interact with the OCI platform (eg system integrators, auditors, consultants etc)
10/05/2024
Project-based
Role: OCI Platform Admin Snr. Engineer Job Type: Contract Day Rate: £450/day [Inside IR35] Duration: 6 months Work Location: London, United Kingdom Note: Candidate should be immediate available SC cleared staff strongly preferred Only. Please make sure below criteria's are met before sharing any profile. 1. Candidate should be keen to travel twice a week to London office. 2. Rate: mentioned against Job description (inside IR35) Please do not share any profiles above the range 3. Consultant needs to be SC cleared and please share below details while sharing profile and kindly follow below format ONLY. 4. Please share SC certificate/Snapshot - Mandatory Name: Contact No: Email Id: Total Years of Experience Vendor Name Years of experience in Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. Years of experience in PaaS and SaaS services Years of Experience in Configure, manage, audit and alert on the availability and performance of the OCI environment. Years of Experience in Develop and implement automation processes to simplify the management of cloud-based infrastructure. Worked with BOE: Yes/No If yes - Reason for leaving BOE Certification in Azure - Yes/NO SC Status: Active/Eligible/Lapse SC Ref number UKSV Snap shot SC Issuing Authority SC last used SC Date of issue & Date of expiry Notice Period Willing to work in client location- 2 days onsite Email confirmation from candidate before client int/v Visa Day Rate/Salary Current Location Current Company Open for Permanent/Contract Current offers/Interviews in pipeline Interview availability Holidays booked OCI Platform Admin Snr. Engineer Programme Overview The Finance Transformation programme is implementing the Oracle Fusion ERP suite for Financials, Procurement and Recruitment over an 18-month period, building on the Oracle HCM tools already in place. These tools will facilitate significant transformation across Finance and the wider Bank business areas. The programme will be managing that transformation change as well as the configuration of the Oracle toolset. Role Summary We are looking for an OCI Platform Admin Engineer to be part of the Programme Management team of the Finance Modernisation Programme to build and manage cloud-based infrastructure, working alongside a fantastic programme team and reporting into the Technology ERP Platform Lead. The Finance Modernisation Programme is a major programme that offers unique learning opportunities due to its scale and complexity and use of Cloud applications and services. Job description Skilled and experienced in a wide variety of Tech Oracle Cloud solutions, you will support a broad range of services, which will include: OCI Management: - Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. - Work as part of a team to implement and manage OCI PaaS and SaaS services. - Ensure these are optimized for OCI and that they meet Bank's requirements. - Know how to proficiently use and supervise the use of container deployment and orchestration platforms (eg Kubernetes). - Manage backup and DR strategies using Oracle Managed Automatic Backups as well as Object Storage and Autonomous Data Guard OCI Monitoring: - Configure, manage, audit and alert on the availability and performance of the OCI environment. - Manage the performance of OCI resources, diagnosing and troubleshooting issues. - Make changes to optimize system/platform performance. Automate: - Develop and implement automation processes to simplify the management of cloud-based infrastructure. Control costs: - Understand and optimize costs by looking at the main cost drivers and working with all stakeholders involved to ensure best use of resources, for example: o Understand data egress and API requests and how these components factor into cloud billing. o Learn how pricing differs from Cloud VMs and serverless functions and how to right-size a VM instance to reduce costs. o Learn about Oracle price models around storage and know how to utilize them to design and run cost effective cloud workloads. Collaborate with other IT teams: - Work closely with other teams in IT, including application developers and devops (eg ACS) as well as Cyber or IT Infra engineers to ensure OCI meets Bank's requirements and can support its goals - Act as a single point of contact for external partners looking to interact with the OCI platform (eg system integrators, auditors, consultants etc)
We have an exciting Job opportunity for OCI Platform Admin Snr. Engineer Role: OCI Platform Admin Snr. Engineer Duration: 6 months Work Location: London, United Kingdom (twice a week to office) Active SC Clearance Primary Skills: At least 5 years of experience on Thing Worx Platform Strong programming background and ability in JavaScript and Java OCI Management: Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. Work as part of a team to implement and manage OCI PaaS and SaaS services. Ensure these are optimized for OCI and that they meet Bank's requirements. Know how to proficiently use and supervise the use of container deployment and orchestration platforms (eg Kubernetes). Manage backup and DR strategies using Oracle Managed Automatic Backups as well as Object Storage and Autonomous Data Guard OCI Monitoring: Configure, manage, audit and alert on the availability and performance of the OCI environment. Manage the performance of OCI resources, diagnosing and troubleshooting issues. Make changes to optimize system/platform performance. Automate: Develop and implement automation processes to simplify the management of cloud-based infrastructure. Control costs: Understand and optimize costs by looking at the main cost drivers and working with all stakeholders involved to ensure best use of resources, for example: Understand data egress and API requests and how these components factor into cloud billing. Learn how pricing differs from Cloud VMs and serverless functions and how to right-size a VM instance to reduce costs. Learn about Oracle price models around storage and know how to utilize them to design and run cost effective cloud workloads. Collaborate with other IT teams: Work closely with other teams in IT, including application developers and devops (eg ACS) as well as Cyber or IT Infra engineers to ensure OCI meets Bank's requirements and can support its goals Act as a single point of contact for external partners looking to interact with the OCI platform (eg system integrators, auditors, consultants etc)
10/05/2024
Project-based
We have an exciting Job opportunity for OCI Platform Admin Snr. Engineer Role: OCI Platform Admin Snr. Engineer Duration: 6 months Work Location: London, United Kingdom (twice a week to office) Active SC Clearance Primary Skills: At least 5 years of experience on Thing Worx Platform Strong programming background and ability in JavaScript and Java OCI Management: Manage cloud-based infrastructure, including virtual machines, storage solutions and networking components. Work as part of a team to implement and manage OCI PaaS and SaaS services. Ensure these are optimized for OCI and that they meet Bank's requirements. Know how to proficiently use and supervise the use of container deployment and orchestration platforms (eg Kubernetes). Manage backup and DR strategies using Oracle Managed Automatic Backups as well as Object Storage and Autonomous Data Guard OCI Monitoring: Configure, manage, audit and alert on the availability and performance of the OCI environment. Manage the performance of OCI resources, diagnosing and troubleshooting issues. Make changes to optimize system/platform performance. Automate: Develop and implement automation processes to simplify the management of cloud-based infrastructure. Control costs: Understand and optimize costs by looking at the main cost drivers and working with all stakeholders involved to ensure best use of resources, for example: Understand data egress and API requests and how these components factor into cloud billing. Learn how pricing differs from Cloud VMs and serverless functions and how to right-size a VM instance to reduce costs. Learn about Oracle price models around storage and know how to utilize them to design and run cost effective cloud workloads. Collaborate with other IT teams: Work closely with other teams in IT, including application developers and devops (eg ACS) as well as Cyber or IT Infra engineers to ensure OCI meets Bank's requirements and can support its goals Act as a single point of contact for external partners looking to interact with the OCI platform (eg system integrators, auditors, consultants etc)
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
10/05/2024
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
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.
09/05/2024
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.
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.
09/05/2024
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.