Experteer Overview
Join our Commodity Analytics team to apply advanced analytics to improve commodity price risk management for integral clients. You will build and expand models, develop tools, and translate complex insights for executive audiences. The role blends rigorous quantitative work with client engagement, cross-functional collaboration, and IP development to deliver measurable impact. You’ll grow rapidly in a high-performance, mentorship-rich environment that values diverse perspectives and real-world problem solving.

Compensaciones / Beneficios
• Develop and maintain hedging strategies and backtest risk management approaches
• Design and improve algorithms and interfaces to deliver insights for clients
• Collaborate with client data science teams to tailor ML models and tools
• Train cross-functional client teams to enable sustainable decision making
• Co-create bespoke tools and solutions leveraging client data and new data sources




• Engage with senior practitioners to learn and contribute to industry advances

Responsabilidades
• Undergraduate degree required; advanced quantitative degree preferred
• 2+ years in commodity markets or related analytics (research, trading, hedging) preferred but not required
• Production-quality Python for model development (optimization, forecasting, feature engineering) required
• Experience with time series methods, ML models, backtesting, and evaluation metrics
• Familiarity with reproducible research workflows, versioning, CI/CD, model monitoring
• Ability to communicate complex analytics to executive audiences

Requisitos principales
• competitive salary
• comprehensive medical/dental/mental health/vision coverage for dependents
• world-class benefits package
• mentorship and structured learning programs
• opportunity to travel to client sites (when travel resumes)

📌 Senior Data Scientist - Commodity Trading and Risk Management (Madrid)
🏢 McKinsey u0026
📍 Madrid