Senior Data Scientist - Commodity Trading and Risk Management
Join to apply for the Senior Data Scientist - Commodity Trading and Risk Management role at McKinsey & Company
Job Overview
As a member of the Commodity Analytics team, based in Brussels, Amsterdam, Madrid, or Lisbon, you will work closely with McKinsey’s Commodity Trading Service Line to support clients across sectors and geographies. Commodity Analytics focuses on helping producers, processors, buyers, and traders improve their commodity price risk capabilities using advanced data science.
Your Impact
You will leverage your analytical skills to solve complex client issues, develop innovative algorithms and products, and collaborate with engineering teams to deliver impactful insights. Your work will include applying advanced analytics to optimize commodity risk management strategies, developing and maintaining models, and training client teams to ensure sustainable capabilities.
Qualifications and Skills
* Undergraduate degree required; advanced degree in a quantitative field preferred or equivalent experience
* 2+ years of commodity markets experience, especially in trading or hedging strategies in physical markets
* Proficiency in Python for model development and deployment (e.g., scikit-learn, pandas)
* Experience with analytical methods for solving commodity market problems
* Ability to communicate complex concepts to diverse audiences
* Experience with version control, shell scripting, and Agile methodologies
Additional Information
Seniority Level: Associate
Employment Type: Full-time
Job Function: Consulting
Industries: Wholesale Building Materials, Chemical Manufacturing, Business Consulting and Services
Referrals can double your chances of interview success. Travel opportunities may be available.
#J-18808-Ljbffr