Machine Learning Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners is seeking a Machine Learning Researcher to join our team. We are live trading across global commodity futures, supported by an investment process rooted in machine learning.
We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction. Our edge comes from research depth, disciplined experimentation, and robust production systems.
This role is for an applied ML specialist with several years of experience building and shipping models. A PhD is a plus, not required. You will work directly with the CIO and sit alongside the quant research team to turn ML ideas into live trading signals. Your research will ship to production and directly impact portfolio returns.
What you will work on
- Designing predictive models for cross-sectional and time-series commodity returns
- Developing and improving features from price, weather, satellite, cash pricing, macro, and alternative datasets
- Improving signal robustness and reducing overfitting through rigorous validation
- Combining and blending multiple models into portfolio-level forecasts
- Regime detection, meta-models, and adaptive allocation frameworks
- Model diagnostics, explainability, and stability analysis
- Translating research ideas into production-ready implementations
- Collaborating with engineers to deploy models into live trading systems
