Quantitative Developer (232979-1)

About the Role

We are seeking a Distinguished Quantitative Engineer for a high-impact, senior individual-contributor contract role based in London.

This is a position for a seasoned professional with 15+ years of demonstrable experience independently designing, implementing, and delivering production-grade pricing and risk models for complex exotic derivatives across Equity, Rates, FX, and Commodities.

We require deep, hands-on ownership.

You will be responsible for everything from mathematical formulation and numerical implementation to performance optimisation and direct contribution to live analytics and trading systems.

What You Will Do

• End-to-End Model Ownership: Independently design, implement, and validate pricing and risk models for complex and exotic OTC derivatives (from math formulation to production rollout).
• Core Library Evolution: Build and evolve core analytics libraries used for valuation, sensitivities, scenarios, and XVA.
• Advanced Numerical Implementation: Implement advanced numerical techniques including Monte Carlo methods (with variance reduction), Tree/lattice methods, PDE approaches, and curve construction (bootstrapping/interpolation).
• High-Performance Engineering: Deliver low-latency, high-performance implementations optimised for large books and intraday risk.
• Codebase Evolution: Review, debug, and optimise existing quantitative codebases for correctness, stability, and scalability, setting the technical standards for implementation rigor.

Required Experience & Technical Skills

• 15+ Years of Hands-On Experience: A proven track record as a quantitative developer/engineer (bridging pure modeling and pure software engineering).
• Production Delivery: Proven experience personally authoring and deploying production pricing libraries, risk engines, exotic payoff models, or calibration frameworks.
• Cross-Asset Exotic Domain Expertise: Deep understanding of exotic derivatives across Equity, Rates, FX, and/or Commodities, including front-to-back derivative lifecycles.
• Technical Stack: Strong production experience in Java is essential alongside C++ and/or Python writing numerically intensive code (not just scripting).
• Numerical Computing: Solid understanding of algorithm design, performance optimsation, memory management, and distributed systems.
• Domain Depth: Practical experience with cashflows, resets, curve frameworks (OIS, multi-curve), sensitivities, scenario risk, and regulatory measures.

What This Role Is NOT

• Not a people-management or team-lead position.
• Not a pure research or academic quant role.
• Not an architecture-only or "ivory-tower" position.
• Not suitable for candidates without direct, hands-on production code ownership.

Education

Advanced degree (Master's or PhD preferred) in Mathematics, Physics, Engineering, Computer Science, or equivalent senior-level commercial experience.