Python Lead Software Engineer – Rates Technology

As a Lead Software Engineer in the Rates Nonlinear Marking and Pricing team, you lead design and delivery of real-time marking, pricing, and market data platforms that power the Rates Nonlinear franchise. You partner with front office traders and quantitative research to set the technical direction for the EMEA region, delivering resilient, high-quality solutions across the trade lifecycle. You shape cross-functional initiatives and drive secure, scalable software engineering practices to meet business objectives. This role combines hands-on coding, architectural leadership, and collaboration with stakeholders to create trusted market technology.

• Develop secure, high-quality production code for real-time pricing and market data in the Rates Nonlinear trading desk
• Lead design and delivery of platform solutions; troubleshoot and optimize complex systems
• Champion enterprise AI-assisted engineering practices (code review, test strategy, automation) and establish validation standards
• Steer the technology agenda for the EMEA region in collaboration with front office and quantitative teams
• Drive cross-functional programs across Risk Tech, Market Data Tech, and related platforms across the trade lifecycle
• Lead evaluation sessions with vendors and internal teams to assess architecture and fit within existing systems
• Build strong relationships with front office and quants to translate market needs into technical solutions
• Promote a team culture of diversity, inclusion, and respect

• Advanced in one or more programming languages with strong Python knowledge
• Hands-on experience in system design, application development, testing, and operational stability
• Proven track record leading effective use of AI-assisted software development tools with emphasis on correct, performant, secure outputs
• Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, resiliency, and security
• Proficiency in Software Development Life Cycle and agile methodologies including CI/CD, application resiliency, and security
• Deep understanding of the financial services IT landscape and markets environment
• Practical cloud-native experience
• Experience working with front office and/or quantitative research and trading
• Genuine interest in nonlinear rates markets

• Cross-functional leadership
• Strong communication with technical and trading stakeholders
• Collaborative and inclusive teamwork
• Python
• AI-assisted development tools and practices
• CI/CD, application resiliency, security