Senior Python Risk Engineer: Rates, PnL & Trading Systems

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks an experienced Senior Python Developer to join the Athena Rates team, building risk and PnL frameworks for rates products.

You will design, implement, and integrate scalable software that supports trading desks, risk managers, and back-office functions, coordinating with quants, traders, and engineers across front, middle, and back offices. The role emphasizes robust software engineering, performance under high data throughput, and participation in code

Qualifications

• Minimum 5 years of hands-on Python development experience.
• Financial services background preferred.
• Strong OO design, testing, and version control practices.
• Ability to write clean, maintainable code for large codebases.
• Excellent written and verbal communication with stakeholders.
• Experience gathering requirements from business users.
• Translate business needs into technical solutions.
• Willing to work with legacy applications if needed.

Responsibilities

• Architect, design, and develop sophisticated Python solutions for rates trading.
• Collaborate with quants, traders, and risk managers across front/middle/back office.
• Implement risk metrics, PnL frameworks, and data pipelines.
• Contribute to architecture decisions and code reviews.
• Support trading operations across multiple Rates products.

Skills

Python

Financial services

OO design

Testing methodologies

Version control

Communication skills

Requirements gathering

Legacy systems

Tools

CI/CD pipelines

Containerization

NoSQL databases

Relational databases

Job description

JPMorgan Chase & Co. in London seeks an experienced Senior Python Developer to join the Athena Rates team, building risk and PnL frameworks for rates products.

You will design, implement, and integrate scalable software that supports trading desks, risk managers, and back-office functions, coordinating with quants, traders, and engineers across front, middle, and back offices. The role emphasizes robust software engineering, performance under high data throughput, and participation in code