Overview
In this role, you apply advanced analytics and problem-solving to tackle client issues in commodity markets, designing models and tools that deliver measurable risk and earnings improvements. You will collaborate with engineers and client teams to translate analytics into practical solutions, while benefiting from a structured learning environment and mentorship. You’ll work across global clients in a fast-paced, merit-driven setting that values diverse perspectives and hands-on impact. This opportunity offers rapid growth through ownership, cross-functional exposure, and exposure to leading industry practitioners.
Arbeidsvoorwaarden / Benefits
- medical coverage
- dental coverage
- mental health coverage
- vision coverage
- coverage for spouse/partner and children
- competitive salary
Verantwoordelijkheden
- Develop and maintain predictive models and pricing/hedging tools for commodity markets
- Collaborate with engineers to design intuitive interfaces delivering actionable insights
- Lead model retraining and feature engineering to adapt across market regimes
- Backtest risk management strategies and optimize earnings vs. risk for clients
- Co-build bespoke tools with client data science teams and tailor ML algorithms
- Explain complex analytics to executive audiences and stakeholders across functions
- Train and enable cross-functional client teams to sustain new decision-making processes
- Engage in IP development to address common client needs and opportunities
- Contribute to trading/risk digitization efforts within the Commodity Trading Service Line
Belangrijkste vereisten
- Undergraduate degree
- Production-quality Python for model development (pandas, scikit-learn, statsmodels, gradient boosting)
- Familiarity with pytest and reproducible research workflows; experience with CI/CD, model monitoring and drift detection; API collaboration
- Experience applying advanced analytical methods to solve commodity market problems
- Ability to explain commodity market nuances and analytics to executive audiences
- communication and storytelling to executives
- collaboration across cross-functional teams
- problem-solving and analytical thinking
- Python for model development
- pandas
- scikit-learn
Senior Data Scientist - Commodity Trading and Risk Management in Amsterdam werkgever: Jobrapido
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