7 publicaciones de empleo destacadas de quantitative model developer en ciudad de méxico (¡Están contratando!)

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de vida
Postulación rápida
AI Experience Designer, Mexico - BCG X
Boston Consulting Group —Ciudad de México
- Tiempo completo
- Inglés
- Disponible para viajar
Consultant, Technology Consulting
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Inglés
- SQL
Cloud Engineer (Innovation & Analytics)
London Stock Exchange Group —Ciudad de México
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Analyst Performance & Analytics
CHEP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Excel
- Administración de personal
- Análisis de datos
Sales Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Disponibilidad para viajar hasta un 50 %
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java

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Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

Moreton Capital Partners
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo
Seguro de vida

Cualificaciones

TensorFlow
Estadísticas
Doctorado
Informática
PyTorch
NumPy
Maestría
Pandas
Licenciatura
Estimación y pronóstico
Python

Descripción completa del empleo

Immediate Start - Quant Researcher – Systematic Commodities Hedge Fund

Moreton Capital Partners is rapidly expanding and seeking a talented Quantitative Researcher to join us in our Mexico City office to sit alongside a world class, international team.

This is a high-impact role from day one. You'll take full ownership of designing, testing, and refining the next generation of alpha signals in commodity futures, with your models feeding directly into live trading portfolios. Our research is grounded in advanced machine learning, robust testing frameworks, and deep expertise across global commodity markets.

We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless.

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 and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).
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, metals) or macro markets.
Experience with feature engineering on non-traditional datasets (options positioning, 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.
Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.
Positive, inclusive and encouraging work environment.

Postulación rápida

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quantitative model developer empleos en ciudad de méxico

Immediate Start - Quant Researcher - Systematic Commodities Hedge Fund

AI Experience Designer, Mexico - BCG X

Consultant, Technology Consulting

Cloud Engineer (Innovation & Analytics)

Senior Analyst Performance & Analytics

Sales Engineer

Data Engineer II, DASH Device Operations

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