Python Lead Software Engineer Rates Live Risk & P&L

Description

You will join a front-office engineering team that builds and operates core Rates trading tooling where correctness resilience and latency matter every day. The environment is fast-moving and highly collaborative with strong expectations for production ownership rapid iteration and high-quality delivery.

Job Responsibilities

• Build and enhance Python services and applications that power live Rates risk and P&L with a strong focus on low latency and predictable performance.
• Partner directly with traders and risk managers to turn time-sensitive requirements into reliable production-ready solutions.
• Own production services end-to-end including releases monitoring incident response and root-cause analysis.
• Troubleshoot issues across distributed components data flows and runtime environments; drive fixes that reduce recurrence.
• Improve DevOps and operational readiness including CI/CD environment management dependency management and automation.

• Maintain strong engineering standards through code reviews testing discipline performance profiling and clear documentation/runbooks.

  
  

Required qualifications capabilities and skills

• Strong Python development skills including writing production-quality code with solid testing and packaging practices.
• Experience building and operating production services including production support and incident-driven troubleshooting.
• Practical SDLC discipline across design implementation testing deployment and release management.
• Experience with CI/CD and observability (monitoring alerting logs/metrics) to keep services stable and measurable.
• Ability to work closely with front-office stakeholders and deliver effectively when priorities shift.
• Strong debugging skills and comfort navigating multi-component systems.
  

Preferred qualifications capabilities and skills

• Financial markets background especially Rates trading risk or P&L concepts.

• Exposure to Deephaven including installation and dependencies (for example GKP Java interoperability and runtime operations).
• Low-latency/performance engineering experience (profiling concurrency and latency measurement).
• Understanding of UI programming and interactive workflows used by traders.
• Strong DevOps mindset (automation environment consistency and operational ownership).