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Senior Python Engineer - Equities Risk & PnL Technology

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Job Description - 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.

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