Lead Python Engineer - Front Office Equities Quant Trading

JPMorgan Chase & Co.; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking a Lead Software Engineer to shape equity derivatives trading through technology. You will collaborate with trading desks, technology teams, and Quantitative Research to deliver impactful, automated solutions on a global platform.

You will lead the Systematic Quoting Platform workstream for EMEA, develop high-quality code, and drive AI-assisted engineering practices to improve efficiency and resilience in a fast-paced environment.

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).
• Knowledge of derivatives pricing and risk (Greeks).
• Experience leading AI-assisted development tools with emphasis on secure coding and testing.

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.
• Demonstrate responsible AI usage and validation in engineering workflows.

Skills

Python

Agentic development

Trading platforms

Databases

CI/CD

AI-assisted tooling

Unit testing

Full lifecycle

Education

Bachelor's degree or higher

Tools

Sybase/SQL Server/Oracle

CI/CD pipelines

Linux/Unix

Job description

JPMorgan Chase & Co. in London is seeking a Lead Software Engineer to shape equity derivatives trading through technology. You will collaborate with trading desks, technology teams, and Quantitative Research to deliver impactful, automated solutions on a global platform.

You will lead the Systematic Quoting Platform workstream for EMEA, develop high-quality code, and drive AI-assisted engineering practices to improve efficiency and resilience in a fast-paced environment.