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Ref: 552ASISW
Title: Senior Machine Learning Strategist – Systematic Commodities
Location: Zurich, Switzerland
Salary: Attractive
Date: 19th June 2025
Our client, a global financial institution, is seeking a skilled Machine Learning Strategist to join their commodities division. This position is ideal for a candidate with a strong foundation in quantitative methods and a passion for building advanced analytics solutions that support commodity trading and management. In this role, you will define strategic priorities, streamline workflows, and apply sophisticated data science techniques to enhance decision-making.
Duties Include:
- Design and implement machine learning models to anticipate commodity price movements
- Analyse macroeconomic indicators, supply chain disruptions, and geopolitical inputs to inform strategy
- Partner with external analytics vendors to integrate advanced modelling tools
- Build feature pipelines and automate data workflows for real-time signal generation
- Present insights and model outputs directly to trading desks and investment leads
- Solid foundation in supervised/unsupervised learning, NLP, and time-series forecasting
The preferred candidate should possess experience working with Python code and strong knowledge of DevOps practices (e.g., Git, Agile methodology) with additional knowledge in AI, MLOps, model architecture design, and testing patterns. Excellent communication and interpersonal skills and be able to interact at all levels of business efficiently.
If you are interested in this opportunity, please email your C.V. to [email protected] or call Altus Search on +41 (0) 41 560 02 21 for a confidential discussion.
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