Details:
- Salary: £750 - 780 - Day
- Job Type: Contract
- Job Status: Full-Time
- Salary Per: Day
- Location: London
- Date: 2 days ago
Description:
Distinguished Quant Engineer - Exotic Derivatives (Java Engine)
Location: London, UK (Canary Wharf)
Engagement: 12-Month Contract | Hybrid (3 days/week in office)
Level: Distinguished Engineer
The Mission
Join an elite team to build a sophisticated OTC derivative pricing system entirely from scratch using an open-source library architecture. We are looking for an exceptional, hands-on practitioner who can dissect academic research papers and build production-grade, numerically intensive execution engines from the ground up.
Note: This is a pure individual contributor (IC) role with zero people-management or advisory-only responsibilities. You must hit the ground running on day one.
Core Responsibilities
Greenfield Ownership: Design, code, calibrate, and roll out pricing and risk frameworks for complex OTC derivatives from scratch.
Numerical Frameworks: Implement robust Monte Carlo methods, Tree/lattice methods, and PDE approaches.
Curve Engineering: Manage multi-curve setups, sophisticated interpolation, and bootstrapping frameworks.
Deep Validation: Fully understand, explain, and validate every model output and underlying number under intense technical scrutiny (no high-level A/B testing).
Strict Non-Negotiables
Production Java Mastery: Deep experience writing multi-threaded, memory-optimized, and numerically intensive Java libraries. (Purely Python-focused profiles will not be considered).
Derivative Product Expertise: Advanced validation and payoff-modeling knowledge of variance swaps, volatility swaps, and knock-in/knock-out barriers.
Financial Foundations: Faultless, front-to-back mastery of complex financial dates (payment dates, calculation periods, accrual rules, fixings, resets, and cash flows).
Technical Articulation: Ability to clearly explain and defend your personal choices of numerical methods, library architecture, and production implementation models.
Education
Master's or PhD preferred in Mathematics, Physics, Quantitative Finance, Computer Science, or equivalent elite commercial experience.
Randstad Technologies is acting as an Employment Business in relation to this vacancy