Lead Software Engineer - Python / AI

Salary: £62,000 - 102,000 per year

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, including vanilla options, variance swaps, and vanilla-based strategies
• Understanding of pricing and risk evaluation using Greeks
• Experience with at least one modern programming language such as Python or Java
• Knowledge of at least one relational database such as Sybase, SQL Server, or Oracle
• Demonstrated experience leading effective use of approved AI-assisted software development tools, including coding, code review, test acceleration, and troubleshooting
• Strong understanding of responsible AI use in engineering workflows, including secure handling of data and validation of AI outputs for correctness, performance, and security
• Effective utilization of unit testing
• Experience across the full project lifecycle
• Preferred: equities business knowledge or relevant experience in other business areas
• Preferred: Unix or Linux knowledge
• Preferred: working knowledge of continuous integration and deployment processes
• Preferred: experience with project management
• Preferred: familiarity with service-oriented platforms and current-generation open source frameworks

Responsibilities:

• Develop and enhance applications for equity derivatives trading and analytics
• Partner closely with trading desks, technology teams, sales, 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 to improve code quality, delivery speed, and operational outcomes
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve automation value
• 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

Technologies:

• AI
• Support
• Java
• Linux
• Oracle
• Python
• SQL
• Security
• Unix

More:

We are J.P. Morgan, a global leader in financial services and a major business across banking, markets, securities services, and payments. Our Commercial & Investment Bank operates in more than 100 countries, where we provide strategic advice, raise capital, manage risk, and extend liquidity for corporations, governments, institutions, wealthy individuals, and investors. We offer a dynamic, agile, delivery-focused environment where you can work closely with trading, technology, and Quantitative Research teams, automate processes, explore new ideas, and make a meaningful impact on business transformation. We value creativity, excellence, diversity, and inclusion, and we support reasonable accommodations for applicants and employees who need them.

last updated 34 week of 2026