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 clients and collaborate with their teams to communicate insights, improve decision-making, and build lasting analytics capabilities. Requires an undergraduate degree, production-quality Python skills for model development, and experience applying advanced analytics to business problems involving commodity markets. Candidates should be able to operationalize models and explain market nuances and analytical results to executive audiences; advanced quantitative education and relevant commodity-market experience are preferred.