About this role
Lead Software Engineer - Python / AI
London, United Kingdom
Skip to main content. View More Jobs Lead Software Engineer - Python / AI LONDON, LONDON, United Kingdom Apply Now Job Information Job Identification 210677956 Job Category Software Engineering Business Unit Commercial & Investment Bank Posting Date 07/20/2026, 11:40 AM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description 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 analyticsPartner with trading desks, technology teams, and Quantitative Research to deliver solutionsLead the Systematic Quoting Platform workstream for EMEAMaintain and improve the existing technology stack to ensure stabilityAutomate Front Office processes and functions using technology solutionsCollaborate with global and local counterparts to solve business problemsDrives 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 publishingPropose and explore new solutions to drive competitive advantageApply disciplined code management, testing, and deployment practices Required Qualifications, Capabilities, and Skills:Hands-on experience with systematic trading technology platformsProven ability to develop, deploy, and maintain commercial service-oriented applicatio