Enhance commodity risk management with advanced analytics at McKinsey. Use your data science skills to develop pricing models, algorithms, and solutions for top-tier clients.
In this senior role, you will leverage analytics to address clients' most pressing commodity trading challenges. Collaborate with client service teams, treasury and risk specialists, and marketing professionals, ensuring your insights resonate with diverse audiences. Your primary focus will be on algorithm development, optimizing hedging strategies, and instilling new analytical capabilities within client organizations.
Key Responsibilities:
• Develop price forecasting models for commodities
• Enhance existing hedging strategies through model re-training
• Modify algorithms using new data features and sources
• Conduct back-testing on various risk management approaches
• Collaborate with client teams for tailored machine-learning solutions
Requirements:
• Undergraduate degree; advanced d...