S P A Enterprise Services - Quantitative Analyst - Energy Commodity Trading Domain

Key Responsibilities :

- Develop and implement quantitative models for spot and forward price processes in energy commodity markets.

- Build and maintain Monte Carlo simulation frameworks and multifactor models to support pricing and risk analysis.

- Design and implement gas storage valuation models and pricing methodologies for commodity options, including spread and exotic options.

- Model stochastic volatility and correlation in commodity prices to enhance pricing accuracy.

- Price complex commodity structures and derivatives to support trading and hedging strategies.

- Collaborate closely with trading and risk management teams to provide quantitative insights and support hedging exposure management.

- Conduct rigorous model validation, backtesting, and performance monitoring.

- Maintain and optimize existing quantitative tools and models, ensuring efficient and robust code implementation.

Qualifications & Skills :

- Previous work experience as a quant in an energy commodity trading organisation, preferably with a focus on LNG, gas, power, or oil markets.

- Strong expertise in modeling spot/forward price processes, commodity option pricing, and building Monte Carlo simulation tools.

- Deep understanding of energy commodity derivatives, hedging techniques, and exposure management.

- Expert-level programming skills in Python, C#, or C++.

- Advanced degree (PhD preferred, MS acceptable) in a quantitative discipline such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related fields.

- Strong analytical and problem-solving skills with attention to detail and accuracy.

- Excellent communication skills to collaborate effectively with cross-functional teams.

Preferred :

- Familiarity with industry-standard tools and platforms used in commodity trading and risk management.