Overview
As a Quantitative Researcher/Developer, Associate in the Fixed Income QTR team, you will deliver advanced pricing, risk and hedging models grounded in deep mathematics and strong software engineering. You’ll work across stochastic calculus, PDEs, term-structure theory and numerical methods to support the trading desk. The role sits at the intersection of modelling excellence and production implementation, partnering with traders and risk managers worldwide. This is a chance to shape pricing and risk analytics for fixed income across vanilla and exotic products. You will contribute to a leading quantitative platform within a global team with impactful, real-time results.
Responsibilities
- Develop analytical pricing and risk models for fixed income products using stochastic processes, PDEs and Monte Carlo methods
- Create analytical risk measures and hedge construction techniques across curves and volatility surfaces
- Design and maintain term-structure and multi-curve frameworks, including yield-curve construction and discounting methodologies
- Implement models in the quant library and trading/risk platforms with rigorous testing and documentation
- Collaborate with traders and the wider quant team to analyze curve, risk and volatility behavior and identify opportunities
- Deliver production-ready models to production environments
Key requirements
- Advanced degree in a quantitative field with strong mathematics
- Strong command of stochastic calculus, probability, numerical analysis, PDEs and Monte Carlo methods as applied to derivatives pricing and risk
- Solid understanding of fixed income analytics: term-structure, yield-curve, multi-curve and hedging, and the math behind them
- Outstanding analytical and problem-solving abilities
- Strong communication skills to explain mathematical concepts clearly
- Strong coding and software engineering skills with professional C++ development experience
- Proven ability to work with cross-functional teams
- analytical thinking
- communication
- team collaboration
- C++ development
- stochastic calculus
- PDEs
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