Lead Software Engineer - Python / AI

About This Role

Leading a workstream for the Systematic Quoting Platform in EMEA, this role focuses on developing and enhancing applications crucial for equity derivatives trading. It suits a Lead Software Engineer with strong Python and agentic development skills who can drive automation and innovation within a global, agile, and delivery-focused team.

Responsibilities

• Develop and enhance applications for equity derivatives trading and analytics
• Partner with trading desks, technology teams, and Quantitative Research to deliver solutions
• Lead the Systematic Quoting Platform workstream for EMEA
• Maintain and improve the existing technology stack to ensure stability
• Automate Front Office processes and functions using technology solutions
• Collaborate with global and local counterparts to solve business problems
• Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support)
• Establish consistent validation standards (secure coding, peer review, automated testing) and promote reuse of effective patterns across the team
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Participate in business transformation projects across analytics, marking, and publishing
• Propose and explore new solutions to drive competitive advantage
• Apply disciplined code management, testing, and deployment practices

Requirements

• Hands-on experience with systematic trading technology platforms
• Proven ability to develop, deploy, and maintain commercial service-oriented applications
• Strong Python skills and familiarity with agentic development (ADLC)
• Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas)
• Understanding of pricing and risk evaluation using Greeks
• Experience with at least one modern programming language (Python, Java, etc.)
• Knowledge of at least one relational database (Sybase, SQL Server, Oracle, etc.)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations