Quant Developer: Live Commodities Trading & ML Infra

Moretoncp; Ciudad de México; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Descripción de la vacante

Moreton Capital Partners seeks a Quant Developer to join our live-trading team across global commodity futures, applying ML-driven research to production systems.

You will own data pipelines, backtesting enhancements, and research tooling, collaborating with researchers and building dashboards, with direct access to senior researchers.

Ideal candidates are fluent in Python and SQL, proficient with cloud and DevOps practices, and thrive in a fast-moving, high-ownership environment.

Formación

• Strong experience in Python and SQL for data processing and research pipelines.
• Hands-on with data engineering tools and ML workflows.
• Experience with cloud environments and containerization.

Responsabilidades

• Build and maintain data pipelines ingesting futures and alternative datasets (from price data from vendor feeds to unstructured data).
• Build and improve LLM-based workflows that support research, data processing, and internal tooling.
• Improve backtesting framework (event-driven simulations, realistic slippage/costs, walk-forward validation, portfolio performance analysis).
• Support research tooling: feature libraries, experiment tracking, artefact storage.
• Machine learning cloud and local execution and optimization setup.
• Productionize signals into the live trading stack with CI/CD, monitoring, and version control.
• Develop dashboards and alerting for data quality, latency, and model drift.
• Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance proposed process computationally.

Conocimientos

Python

SQL

Airflow

Snowflake

Pandas

Polars

AWS

Docker

CI/CD

LLM workflows

Educación

Bachelor's in CS/Comp-Eng or computationally heavy subject

Herramientas

Airflow

Snowflake

Pandas

Polars

AWS

Docker

CI/CD pipelines

Descripción del empleo

Moreton Capital Partners seeks a Quant Developer to join our live-trading team across global commodity futures, applying ML-driven research to production systems.

You will own data pipelines, backtesting enhancements, and research tooling, collaborating with researchers and building dashboards, with direct access to senior researchers.

Ideal candidates are fluent in Python and SQL, proficient with cloud and DevOps practices, and thrive in a fast-moving, high-ownership environment.