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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 programing skills. Able to read and/or write code using a programming language (e.g., 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 (e.g., 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 (e.g., Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments.
• Experienced with cloud technology (AWS preferred), infrastructure-as-code (e.g. Terraform), managing and orchestrating containerized workloads (e.g. Kubernetes).
• Experience with logging, profiling, monitoring, telemetry (e.g. 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 (e.g. Parquet, Avro, Protocol Buffers).
• Experience with automated quality assurance frameworks (e.g., 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