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Job verified 3 hours ago

Quantitative Engineer

Randstad Technologies·London (South East England)
£750 – £780 / day
Vox Summary
  • Role Overview: Design, implement, and deliver production-grade pricing and risk models for exotic OTC derivatives across multiple asset classes.
  • Key Requirements: 15+ years as a quant developer, strong experience in Java, C++, or Python, and expertise in advanced numerical methods like Monte Carlo, PDE, and Tree/lattice.
  • Technical Responsibilities: Build valuation libraries, sensitivities, XVA, and core libraries for curve construction and bootstrapping.
  • Conditions & Preferences: Pure individual contributor role, focused on deep technical ownership, with a 12-month contract, hybrid work (3 days/week in office), located in London, UK.
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Job description

Job Opportunity Quantitative Engineer - Exotic Derivatives • Location: London, UK (Canary Wharf) • Engagement: 12-Month Contract | Hybrid (3 days/week in office) Role SummaryWe are hiring a hands-on Quantitative Engineer with 15+ years of experience to join a premier financial institution. You will independently design, implement, and deliver production-grade pricing and risk models for complex exotic OTC derivatives across Equity, Rates, FX, and Commodities. Note: This is a pure individual contributor role focused on deep technical ownership, code implementation, and model formulation. It is not a management or advisory position. Key Requirements & Responsibilities • Model Ownership: Independently design, code, calibrate, and roll out pricing/risk models for exotic OTC derivatives. • Technical Stack: Strong production-level experience in Java, C++, and/or Python for numerically intensive code. Java and pricing engine experience is highly preferred. • Numerical Expertise: Implement advanced methods including Monte Carlo, Tree/lattice, and PDE approaches. • Analytics & Curves: Build core libraries for valuation, sensitivities, and XVA, alongside robust curve construction/bootstrapping. • Track Record: 15+ years as a quant developer with a history of personally authoring core components (pricing libraries, risk engines). • Education: Master's or PhD preferred in Mathematics, Physics, Engineering, Computer Science, or equivalent senior commercial experience. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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Original source
reed.co.uk
Posted
Jun 24, 2026 · true date
Last verified
3 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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