Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
17/10/2024
Full time
Associate Principal, Software Programming - Quantitative Risk Management Area - Associate Principal, Software Engineering - Automating Risk Models On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
Lead DevOps/SRE Engineer (AWS Python Amazon Web Services DevOps SRE Site Reliability Engineer Developer Software Engineer Programmer Technical Lead Front Office ECS Lambda EC2 S3 RDS Redshift CloudFormation SQS Docker Terraform OpenShift Kubernetes KOPS Artifactory Trading Finance Java Asset Manager Investment Manager) required by our asset management client in London. You MUST have the following: Experience as a Lead DevOps Engineer/SRE/Python Developer in an Agile environment Strong experience delivering solutions in the AWS (Amazon Web Services) cloud (such as ECS, Lambda, EC2, S3, RDS, CloudFormation, SQS) Advanced ability in CI/CD DevOps tools Good experience with open-source Kubernetes- lower level engineering and tweaks Kubernetes Operations (KOPS) Agile The following is DESIRABLE not essential: Java (J2EE or Core Java) Golang Role: Lead DevOps/SRE Engineer (AWS Python Amazon Web Services DevOps SRE Site Reliability Engineer Developer Software Engineer Programmer Technical Lead Front Office ECS Lambda EC2 S3 RDS Redshift CloudFormation SQS Docker Terraform OpenShift Kubernetes KOPS Artifactory Trading Finance Java Asset Manager Investment Manager) required by our asset management client in London. You will join a team of 6/7 developers/DevOps engineers that have created an in-house product for the automated release and deployment of quantitative models. This tool enables the quants to deploy their models at the click of a button so that they can focus on the delivery of financial models. The stack is Python, Java, Jenkins, Docker, Terraform, Kubernetes (KOPS) and Artifactory. Everything is hosted on AWS in an advanced environment that includes the use of Lambda, EC2, ECS, SQS and RedShift. Your experience and skill with Kubernetes will need to be of a level where you have done low-level administration and tweaks and have been working with open-source Kubernetes. You will also be familiar with KOPS. There are other projects and systems that you will be working on in Tandem with this project. This will be deployment oriented to allow for the improved efficiency of the quant teams. The setup is fast-paced with rapid releases and decision making. Investment is significant so there are all the tools available that you may need. They are using the entirety of the AWS suite. Salary: £90-125k + 20% Bonus + 10% Bonus
17/10/2024
Full time
Lead DevOps/SRE Engineer (AWS Python Amazon Web Services DevOps SRE Site Reliability Engineer Developer Software Engineer Programmer Technical Lead Front Office ECS Lambda EC2 S3 RDS Redshift CloudFormation SQS Docker Terraform OpenShift Kubernetes KOPS Artifactory Trading Finance Java Asset Manager Investment Manager) required by our asset management client in London. You MUST have the following: Experience as a Lead DevOps Engineer/SRE/Python Developer in an Agile environment Strong experience delivering solutions in the AWS (Amazon Web Services) cloud (such as ECS, Lambda, EC2, S3, RDS, CloudFormation, SQS) Advanced ability in CI/CD DevOps tools Good experience with open-source Kubernetes- lower level engineering and tweaks Kubernetes Operations (KOPS) Agile The following is DESIRABLE not essential: Java (J2EE or Core Java) Golang Role: Lead DevOps/SRE Engineer (AWS Python Amazon Web Services DevOps SRE Site Reliability Engineer Developer Software Engineer Programmer Technical Lead Front Office ECS Lambda EC2 S3 RDS Redshift CloudFormation SQS Docker Terraform OpenShift Kubernetes KOPS Artifactory Trading Finance Java Asset Manager Investment Manager) required by our asset management client in London. You will join a team of 6/7 developers/DevOps engineers that have created an in-house product for the automated release and deployment of quantitative models. This tool enables the quants to deploy their models at the click of a button so that they can focus on the delivery of financial models. The stack is Python, Java, Jenkins, Docker, Terraform, Kubernetes (KOPS) and Artifactory. Everything is hosted on AWS in an advanced environment that includes the use of Lambda, EC2, ECS, SQS and RedShift. Your experience and skill with Kubernetes will need to be of a level where you have done low-level administration and tweaks and have been working with open-source Kubernetes. You will also be familiar with KOPS. There are other projects and systems that you will be working on in Tandem with this project. This will be deployment oriented to allow for the improved efficiency of the quant teams. The setup is fast-paced with rapid releases and decision making. Investment is significant so there are all the tools available that you may need. They are using the entirety of the AWS suite. Salary: £90-125k + 20% Bonus + 10% Bonus
NO SPONSORSHIP Software Engineering - Python, Java, Terraform, DevOps, Containerization Understanding of industry They do not necessarily have to work within a QRM portal. But they have to understand the industry and come from a highly regulated background, preferably financial Looking for a hard core developer who can work within quantitative risk management and they develop applications and solutions for the QRM team They do not build models, they automate models Develop hardcore applications These people will have masters in mathematics, statistics, physics, or computer science *They may even have a PhD They need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Develops and maintains risk models for managing clearing fund and stress testing risk model software in production AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python 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. 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. 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. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
16/10/2024
Full time
NO SPONSORSHIP Software Engineering - Python, Java, Terraform, DevOps, Containerization Understanding of industry They do not necessarily have to work within a QRM portal. But they have to understand the industry and come from a highly regulated background, preferably financial Looking for a hard core developer who can work within quantitative risk management and they develop applications and solutions for the QRM team They do not build models, they automate models Develop hardcore applications These people will have masters in mathematics, statistics, physics, or computer science *They may even have a PhD They need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Develops and maintains risk models for managing clearing fund and stress testing risk model software in production AWS develop CICD pipelines JAVA C# Python Agile Scrum financial products a plus understand markets financial derivatives equities interest rates commodity products Java preferred cicd infrastructure as a code Kubernetes terraform splunk open telemetry SQL big data Scripting in python 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. 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. 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. Education and/or Experience: Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas
15/10/2024
Full time
NO SPONSORSHIP Associate Principal, Software Programming Quantitative Risk Management Area Associate Principal, Software Engineering Automating Risk Models Chicago - On site 3 days a week Salary - $185 - $195K + Bonus Looking for a hard core developer who works within the quantitative risk management and cab develop applications and solutions for the QRM team. You will not build models, you will automate models You will need to come from a financial institute, trading company, exchange, etc. Develop hardcore applications You will need to have CICD pipelines, Infrastructure as a Code, Kubernetes, Terraform, etc. Preferably having Java, Python, C++ Configure and manage resources in the local and AWS cloud environments and deploy QRMs software on these resources. Develop CI/CD pipelines. Contribute to development of QRMs databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. cloud environment. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Education and/or Experience: Masters degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 7+ years of experience as a software developer with exposure to the cloud or high-performance computing areas