Quant Researcher — Systematic Commodities Trading

Moretoncp; Ciudad de México; Híbrido; MXN 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Moreton Capital Partners is seeking a Quant Researcher to advance alpha signals in commodity futures. You will design, test, and refine predictive models feeding live portfolios, using advanced ML, robust backtesting, and a research-first approach.

The role emphasizes translating academic insights into production-ready code, evaluating model drift, and collaborating with engineers across global teams to scale strategies and evaluate risk/return dynamics.

Formación

• Advanced degree in a quantitative field required.
• Strong ML and time-series modelling expertise.
• Experience translating academic work to production code.
• Prior exposure to systematic trading or financial modelling.
• Ability to design experiments and iterate quickly.

Responsabilidades

• Research, prototype, and validate systematic trading signals across commodities using ML.
• Design backtests with walk-forward validation and statistical tests.
• Engineer features from prices, fundamentals, and datasets (satellite, weather).
• Blend alpha forecasts into meta-models and portfolio signals.
• Collaborate with developers to deploy research into production.
• Monitor performance, attribution, and model drift.

Conocimientos

Time-series forecasting

Machine learning

Statistical modelling

Experiment design

Academic research experience

Production deployment

Educación

Masters or PhD in Statistics, Economics or Computer Science

Herramientas

Python (pandas, NumPy)

scikit-learn

XGBoost

PyTorch/TensorFlow

Descripción del empleo

Moreton Capital Partners is seeking a Quant Researcher to advance alpha signals in commodity futures. You will design, test, and refine predictive models feeding live portfolios, using advanced ML, robust backtesting, and a research-first approach.

The role emphasizes translating academic insights into production-ready code, evaluating model drift, and collaborating with engineers across global teams to scale strategies and evaluate risk/return dynamics.