Lead Software Engineer - Python / AI

Join us to shape the future of equity derivatives trading through technology. You’ll partner closely with trading desks, technology teams, and Quantitative Research to deliver impactful solutions. We offer a dynamic environment where you can propose and explore new ideas, automate processes, and collaborate globally. Your work will directly influence business transformation and provide opportunities for career growth. Be part of an agile, delivery-focused team that values creativity and excellence. As a Lead Software Engineer in the Equities Front Office Trading and Analytics Team, you will lead the Systematic Quoting Platform workstream for EMEA. You will develop and enhance applications critical to the business, working closely with trading, sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. You will contribute to a global platform, ensuring stability and delivering high-quality solutions. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment. Job 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 Drives 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), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies 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 Required Qualifications, Capabilities, and Skills: 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; experience coaching engineers on safe, compliant adoption within delivery practices Effective utilization of unit testing Experience across the full project lifecycle Preferred Qualifications, Capabilities, and Skills: Equities business knowledge or relevant experience in other business areas. Unix or Linux knowledge Working knowledge of continuous integration and deployment processes Experience with project management Familiarity with service-oriented platforms and current generation open source frameworks