VP/Director, Quantitative Analyst - Commodities Quantitative Strategies and Data Group
$100,000–$300,000 year
On-siteHouston, Texas, United States or New York, United States
Houston, Texas, United States or New York, United StatesOn-siteFull Time$100,000–$300,000 yearSenior LevelLarge
Full TimeSenior LevelLarge
Job Summary
Develop and maintain pricing and risk models for commodities derivatives, focusing on power, gas, spread options, and structured products. Design scalable C++ and Python code for model pricing and risk analytics platforms while collaborating with traders, structurers, and risk managers. Write production code, contribute to analytics infrastructure modernization, and produce comprehensive documentation for governance and regulatory compliance. Work closely with model validation and risk control teams throughout the approval lifecycle to support day-to-day analytics needs.
Required Qualifications
- Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field
- Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry
- Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered
- Solid knowledge of volatility modelling techniques and derivative pricing theory
- Proficiency in C++ and Python for numerical computing and model development
- Knowledge of working within a structured software development environment
- Use of source code control systems, continuous integration environments, testing, release processes, etc.
- Excellent problem-solving skills, attention to detail, and strong communication abilities
Desired Qualifications
- Experience in commodities is preferred, with particular interest in candidates who have worked on gas and power products, energy derivatives, volatility modelling, or complex physical/financial commodity products
- Candidates from FX, equities, rates or other asset classes with strong derivatives pricing and volatility modelling experience will also be considered
- Experience with model documentation and familiarity with model validation processes is a strong plus
- Exposure to commodities markets (including, but not limited to power markets, gas and power products, power options, structured power products, heat-rate products, storage, transmission, weather-linked products, or other energy derivatives)
- Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques
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