Python Lead Software Engineer – Rates Live Risk & P&L

Overview

In this role, you will build and operate low-latency Python services powering live Rates risk and P&L, collaborating with traders and risk managers. You’ll own end-to-end production services, from releases to incident response, and drive reliable, observable systems in a fast-moving, collaborative environment. The work centers on turning time-sensitive requirements into robust, production-ready solutions while elevating engineering standards. This is a front-office role with significant impact on trading workflows and operational excellence.

Responsibilities

• Build and enhance Python services for live Rates risk and P&L with focus on low latency and predictable performance
• Collaborate with traders and risk managers to translate requirements into production-ready solutions
• Own production services end-to-end including releases, monitoring, incident response, and root-cause analysis
• Troubleshoot across distributed components and data flows; implement fixes to reduce recurrence
• Improve DevOps and operational readiness (CI/CD, environment/dependency management, automation)
• Maintain engineering standards through code reviews, testing, performance profiling, and clear runbooks or documentation

Key requirements

• Strong Python development skills with production-quality code and testing/packaging practices
• Experience building and operating production services including 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
• Ability to work closely with front-office stakeholders and deliver under shifting priorities
• Strong debugging skills and comfort across multi-component systems

• collaboration with cross-functional teams
• adaptability to shifting priorities
• clear communication and documentation
• Python development for production services
• production operations and incident management
• CI/CD pipelines and automation

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