Quant Developer – Live Trading Infra & ML-Driven Research

Moreton Capital Partners; Ciudad de México; Presencial; MXN 800.000 - 1.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Annual bonus

Direct exposure to CIO

Live trading environment

Growth opportunities

Descripción de la vacante

Moreton Capital Partners is seeking a talented Quant Developer to join our team, delivering production-grade research infrastructure for live trading across global commodity futures.

You’ll own data pipelines, ML workflow improvements, backtesting enhancements, and dashboards, collaborating with researchers and traders in a fast-moving, capital-intensive environment. Strong Python/SQL, data engineering, and cloud skills are essential.

Formación

• Fluency in Python and SQL; clean, testable code is a must.
• Experience with data engineering (Airflow, Snowflake, pandas, polars workflows).
• Prior exposure to systematic trading, backtesting, or market data pipelines.
• Familiarity with cloud environments (AWS), containers (Docker), and CI/CD.
• Self-starter with the ability to work autonomously in a lean, high-ownership environment.
• Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.

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

Data engineering

Airflow

Snowflake

Pandas/Polars

AWS

Docker

CI/CD

Autonomy

Educación

Bachelors in CS/Comp-Eng or computationally heavy subject matter

Finance minor (optional)

Herramientas

MLflow

Weights & Biases

Feature stores

Model monitoring

React/TypeScript

Descripción del empleo

Moreton Capital Partners is seeking a talented Quant Developer to join our team, delivering production-grade research infrastructure for live trading across global commodity futures.

You’ll own data pipelines, ML workflow improvements, backtesting enhancements, and dashboards, collaborating with researchers and traders in a fast-moving, capital-intensive environment. Strong Python/SQL, data engineering, and cloud skills are essential.