Are you a quantitative specialist who thrives at the intersection of mathematical complexity and fast-paced financial markets? At Camber Morris we are representing a major global hedge fund in Sao Paolo. We are expanding our elite quantitative engineering division, offering you the opportunity to directly shape the pricing models and risk management strategies driving our global trading operations. As an FX Volatility Quantitative Analyst, you will not just maintain existing systems; you will have a direct hand in pioneering the next generation of our proprietary FX valuation platforms.
We are seeking a sharp, mathematically minded professional to join us in a permanent, hybrid role based in our London office. In this position, you will bridge the gap between advanced quantitative theory and real-time trading execution, driving the evolution of our FX options and volatility portfolio.
Key Responsibilities
- Model Development & Calibration: Design, implement, and refine advanced mathematical models for pricing and risk-managing FX derivatives, with a specific focus on local stochastic volatility (LSV) and barrier options.
- Algorithmic Tooling: Collaborate closely with traders and software engineers to develop robust, high-performance library tools and analytics for real-time volatility surface construction.
- Quantitative Research: Conduct rigorous statistical analysis on market microstructure, flow dynamics, and historical volatility to identify pricing anomalies and hedging optimizations.
- Risk Framework Enhancement: Design and implement cutting-edge stress-testing scenarios and Greeks attribution frameworks to protect portfolio integrity under extreme market conditions.
- Cross-Functional Collaboration: Translate complex quantitative concepts into actionable trading strategies, providing clear documentation and support to the trading desk and risk managers.
Required Skills & Experience
- Advanced Academic Background: A PhD or Master’s degree in a highly quantitative discipline such as Financial Mathematics, Physics, Statistics, or Computer Science.
- FX Derivatives Expertise: Strong theoretical and practical understanding of FX volatility dynamics, smile calibration, and the mathematical pricing of exotic options.
- Elite Programming Skills: Exceptional proficiency in C++ and Python, with a proven track record of writing clean, scalable, and production-grade code.
- Stochastic Calculus: Mastery of stochastic calculus, probability theory, and numerical methods (such as Monte Carlo simulations and finite difference methods).
- Communication Skills: The ability to articulate complex mathematical and computational concepts clearly to both technical and non-technical stakeholders.
Nice-to-Have
- Experience working directly on or supporting an active FX options trading desk.
- Prior exposure to machine learning techniques applied to volatility forecasting or regime detection.