Machine Learning Researcher (Ciudad de México)

Machine Learning Researcher (Ciudad de México)

13 ago
|
Moreton Capital Partners
|
Ciudad de México

13 ago

Moreton Capital Partners

Ciudad de México

Description
Machine Learning Researcher (PhD) – Systematic Commodities Hedge Fund
Moreton Capital Partners is seeking a Machine Learning Researcher to help design and improve the predictive models that power our systematic commodities trading strategies.
We trade integral 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 candidates completing or having recently completed a PhD with a strong machine learning, statistics, or applied mathematics focus who want to apply advanced research in a real capital environment.
You will work directly with the CIO and quant research team to turn cutting-edge ML ideas into live trading signals.
This is not a purely academic role.
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 new features from price, positioning, options, 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

Key Responsibilities
- Formulate research hypotheses and test them using clean, time-aware ML pipelines
- Build and evaluate models (tree-based, linear, ensemble, deep learning, etc.)
- Run walk-forward and out-of-sample experiments with realistic costs
- Analyze information coefficients, turnover, drawdowns, and risk-adjusted returns
- Design feature engineering frameworks and reusable research tooling
- Document findings clearly and communicate result

📌 Machine Learning Researcher (Ciudad de México)
🏢 Moreton Capital Partners
📍 Ciudad de México

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