Senior Data Scientist - Commodity Trading and Risk Management

About the role

Develop, maintain, and improve analytical models and tools for commodity price forecasting, hedging, and risk management, including backtesting strategies and tailoring machine-learning solutions to client needs. Advise and train client teams, communicate findings to executive audiences, and collaborate with engineers and commodity practitioners to deliver lasting analytics capabilities. An undergraduate degree and production-quality Python experience are required, including model development, forecasting, feature engineering, backtesting, and evaluation with standard data science tools. Candidates should have experience applying advanced analytics to commodity-market problems and explaining complex results to business and executive audiences; experience in commodity markets, operationalizing models, and relevant quantitative methods is preferred.