Senior Data Scientist in Commodity Risk Management

Drive data-driven solutions for commodity trading at McKinsey as a Senior Data Scientist. Apply advanced analytics to meet critical client needs and improve trading strategies.
This role focuses on using creativity and problem-solving skills to collaborate with diverse client teams, including treasury and risk professionals and C-suite stakeholders. You will build innovative algorithms, enhance existing models, and develop pricing strategies within commodity markets. Your advanced analytical abilities will significantly influence decision-making in the agribusiness, energy, and materials sectors.
Key Responsibilities:
• Create algorithms for price forecasting and risk management
• Optimize current hedging strategies by refining models
• Test diverse risk management strategies for efficacy
• Collaborate with cross-functional teams on tailored analytics
• Communicate complex analytics to non-technical stakeholders
Requirements:
• Undergraduate degree required; ...