Senior Python Engineer - Equities Risk & PnL Technology

London (Hybrid)
£900 per day | 12-month contract (initial)

A leading Tier 1 investment bank is seeking a Senior Python Engineer to join its front-office Equities Risk & PnL Technology team, supporting a high-profile, multi-year transformation programme.

This is a critical, fully funded initiative focused on enhancing risk and PnL capabilities across the equities derivatives stack. You'll play a key role in delivering core engineering components, helping to scale systems that directly support trading, pricing and risk management.

This is not a support function. You will be working on business-critical systems used by traders and quants, contributing to the architecture and build of next-generation risk infrastructure.

The Role

You will join a high-performing engineering team responsible for building and enhancing risk and PnL platforms within a front-office environment.

Key responsibilities include:

• Designing and developing scalable server-side components in Python (with some exposure to Java where required)
• Building and enhancing systems that support real-time risk, pricing and PnL calculations
• Working closely with traders, quants and product stakeholders to understand complex requirements
• Contributing to architecture decisions and system design within a large-scale transformation programme
• Driving delivery within an Agile environment, ensuring high-quality, performant code

What They're Looking For

• Strong Python engineering experience (5+ years) in complex backend systems
• Proven experience within financial markets, ideally in:
  • Front-office risk systems
  • Pre-trade / origination platforms
  • Post-trade or PnL systems
• Solid understanding of derivatives pricing and risk concepts, including:
  • Greeks and scenario analysis
  • Equity derivatives (options, futures, convertibles)
• Experience designing high-performance, scalable systems
• Strong stakeholder engagement skills - ability to operate in a fast-paced front-office environment
• Familiarity with Agile / Lean development practices

Desirable:

• Experience with internal risk platforms
• Java exposure
• Computer Science (or equivalent) background

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.