Machine Learning Researcher (PhD) - Systematic Commodities Hedge Fund

Machine Learning Researcher (PhD) to help design and improve predictive models for systematic commodities trading strategies, applying advanced research in a real capital environment.

Requirements

• PhD (completed or near completion) in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field
• Strong Python skills and experience with scientific computing stacks
• Deep understanding of statistical learning and model validation
• Experience working with large datasets and experimental pipelines
• Ability to move from theory to practical implementation
• Intellectual curiosity and strong problem-solving mindset
• Comfortable working in a fast-paced, high-ownership environment

Benefits

• Market leading benefits
• High responsibility from day one
• Performance bonus tied to firm growth and personal performance (up to 3x salary)