IT & Software

Quantitative Developer

Mulbridge Partners

London · England · United Kingdom

Our client is hiring a Senior Quant Developer to join the Pricing team of a leading global institutional liquidity provider operating across digital assets and traditional financial markets.

This is a hands‑on role at the intersection of quantitative research and production engineering. You’ll help design and implement sophisticated pricing, hedging and optimisation models within high-performance, distributed Java systems.

What you’ll be doing

  • Building production‑grade pricing, hedging and optimisation models in Java
  • Developing client pricing, spread optimisation and liquidity models
  • Designing automated hedging strategies that balance market impact, execution risk and liquidity
  • Analysing client flow, toxicity and information decay
  • Deploying pricing logic across resilient, multi‑region trading systems
  • Working closely with quantitative researchers, traders and engineers

What we’re looking for

  • 5+ years of advanced Java development experience
  • Strong commercial experience with Java 17 or later , ideally Java 21
  • Excellent knowledge of concurrency, object-oriented design and performance engineering
  • Experience building high-performance, distributed systems
  • A strong quantitative background with practical experience in numerical optimisation or machine learning
  • Experience in client pricing, market making or algorithmic trading within liquid markets such as FX, equities, ETFs or digital assets
  • A degree or equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field

Nice to have

  • Python experience, particularly NumPy, SciPy or pandas
  • KDB+/Q or another functional programming language
  • AWS, Docker or Kubernetes
  • Java performance tuning, garbage‑collection optimisation or LMAX Disruptor
  • Knowledge of futures, forwards, NDFs or CFDs

What’s on offer

  • Ownership across the full model-development and production lifecycle
  • Direct impact on institutional client pricing and trading performance
  • A collaborative environment with experienced quants, traders and engineers
  • Competitive salary and two discretionary bonus awards per year
  • A modern London office with hybrid working

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Reference: WJ-766_21952874

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