# Quant Researcher - Systematic Commodities Hedge Fund

> Moreton Capital Partners · Mexico City, Mexico · Full-time · Posted 2026-08-29

**Salary:** USD 50,000–220,000

**Workplace:** on_site

## Description

### Quant Researcher – Systematic Commodities Hedge Fund

Moreton Capital Partners is seeking a talented Quant Researcher to help build the next generation of alpha signals in commodity futures. Our research is grounded in advanced machine learning, robust testing frameworks, and a deep understanding of global commodity markets.

This role is central to our mission: you’ll take ownership of designing, testing, and refining predictive models that directly feed into live trading portfolios.

### Key Responsibilities

-   Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.
-   Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.
-   Engineer, test, and maintain features from prices, fundamentals, positioning, and alternative datasets (e.g., satellite, weather and global commodity cash pricing). Feature work is a core part of this role.
-   Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.
-   Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.
-   Collaborate with developers to transition research into production-ready strategies.
-   Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.

## Requirements

-   Masters or PhD in either Statistics, Economics, Computer Science.

-   Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).
-   Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).
-   Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.
-   Academic experience in research and proven ability to translate academic work to production code.
-   Prior exposure to systematic trading or financial modelling.
-   Ability to design experiments, interpret results, and iterate quickly in a research environment.

**Bonus points for:**

-   Knowledge of commodities (agriculture, energy) or macro markets.
-   Experience with feature engineering on non-traditional datasets (weather, satellite).
-   Experience collaborating in version control environments.
-   Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.
-   Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.

## Benefits

-   Direct impact: Your alphas will go live into production portfolios, with real capital behind them.
-   Research-first culture: We value deep thinking, novel approaches, and systematic rigor.
-   Close collaboration across a global team.
-   Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.
-   Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
-   Positive, inclusive and encouraging work environment.

## Apply

[Apply at Moreton Capital Partners](https://apply.workable.com/moreton-capital-partners/j/690AB6FC80/apply)

---
Powered by [Workable](https://www.workable.com)