Commodities Quant Risk Analyst

Transform complex risk into clear insights that drive better trading decisions. As a Quantitative Analyst, you'll be at the forefront of a dynamic partnership between Risk and the Commodities Front Office, collaborating closely with traders to enhance risk capabilities in North American gas and power markets. This is your chance to be part of a team that values honesty, strong models, and impactful conversations.

About the Role:

You'll play a crucial role in designing, implementing, and managing market risk models that influence trading decisions. This position offers the opportunity to own critical models from start to finish, shaping how risk is measured and integrated into fast-paced energy markets.

Key Responsibilities:

• Design, implement, and manage market risk models, including VaR and Expected Shortfall.
• Develop and maintain risk drivers such as curves, volatility surfaces, and basis/spread risk.
• Quantify non-linear risk for complex structures like storage and spark/dark spreads.
• Build scalable Python-based risk libraries for daily reporting and monitoring.
• Integrate models into production systems with a focus on data quality and auditability.
• Enhance the performance and robustness of risk calculations.

Key Requirements:

• Extensive experience in quantitative risk roles within commodities, energy, or capital markets.
• Strong knowledge of futures and options, particularly in North AmericanYou’ve worked with structured transactions such as storage, transport, PPAs, or similar energy assets

You’re a strong Python user and build production-grade analytics using libraries like pandas, numpy, scipy, or similar

You have experience developing risk systems and VaR frameworks end to end – from modeling to reporting

You’re comfortable working with large datasets and data pipelines (SQL, APIs, market data)