Senior Commodity Trading Data Scientist & Risk Leader

McKinsey & Company; Madrid; On-site; EUR 90,000 - 120,000; Full time

Job summary

McKinsey & Company is seeking a highly skilled Commodity Analytics professional based in Madrid or with an equivalent European office. You will apply advanced analytics to commodity markets, develop predictive models, and work with engineers to deliver actionable insights for clients.

You will receive best-in-class training and exposure to senior practitioners, with opportunities to travel and contribute to high-impact client engagements across agribusiness, energy, and industrial sectors.

Qualifications

• Undergraduate degree required; advanced degree preferred.
• Production-quality Python for model development including optimization, forecasting, backtesting, and evaluation.
• Experience with reproducible research workflows, versioning, CI/CD, and model monitoring.
• Experience applying advanced analytics to commodity markets.
• Ability to explain commodity market nuances and analytics results to executives.

Responsibilities

• Apply advanced analytics to enable better commodity risk decisions and pricing.
• Develop and retrain models, backtest strategies, and explore new features and data sources.
• Collaborate with engineers to design interfaces and APIs for analytics outputs.
• Train cross-functional client teams to embed models and ensure adoption of new decision-making tools.

Skills

Python for models

Time series forecasting

Backtesting

Statistical methods

Executive communication

Education

Undergraduate degree

Tools

pytest

CI/CD

APIs

Pandas

scikit-learn

Job description

McKinsey & Company is seeking a highly skilled Commodity Analytics professional based in Madrid or with an equivalent European office. You will apply advanced analytics to commodity markets, develop predictive models, and work with engineers to deliver actionable insights for clients.

You will receive best-in-class training and exposure to senior practitioners, with opportunities to travel and contribute to high-impact client engagements across agribusiness, energy, and industrial sectors.