Senior Python Engineer for Equity Derivatives

JPMorgan Chase & Co.; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Lead Software Engineer for the Equities Front Office Trading and Analytics Team to drive the Systematic Quoting Platform for EMEA.

You will lead development of applications for equity derivatives trading, partnering with trading desks, technology teams, and Quantitative Research to deliver robust, scalable solutions in a fast-paced environment. You will mentor engineers, implement AI-assisted development practices, ensure secure coding and testing, and

Qualifications

• 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

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, 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, marketing, and publishing
• Propose and explore new solutions to drive competitive advantage
• Apply disciplined code management, testing, and deployment practices

Skills

Python skills

ADLC (agentic development)

Systematic trading tech

AI-assisted tools

Unit testing

Full project lifecycle

Relational databases

Tools

Sybase

SQL Server

Oracle

Job description

JPMorgan Chase & Co. in London seeks a Lead Software Engineer for the Equities Front Office Trading and Analytics Team to drive the Systematic Quoting Platform for EMEA.

You will lead development of applications for equity derivatives trading, partnering with trading desks, technology teams, and Quantitative Research to deliver robust, scalable solutions in a fast-paced environment. You will mentor engineers, implement AI-assisted development practices, ensure secure coding and testing, and