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.
- 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).
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