# Software Engineer - Systematic Commodities Hedge Fund

**Company:** [Moreton Capital Partners](https://jobs.workable.com/companies/3SNaJrk7c1gh9FfwEKuZtL.md)
**Location:** Mexico City, Mexico
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](https://jobs.workable.com/view/ce430486-4bc3-43cc-a415-c41cdb038774)

## Description

We are seeking a talented **Software Engineer** to join our team. We are live trading across global commodity futures, supported by an investment process rooted in machine learning.

This is a broad engineering role and a unique opportunity to work directly with our global team, owning infrastructure that supports research, trading, and investment decision-making in a fast-moving, real-capital environment.

### Key Responsibilities

-   Build and maintain data pipelines ingesting market and alternative datasets, from vendor feeds and price data to unstructured data.
-   Build backend services and APIs supporting internal applications and research workflows.
-   Develop internal systems for trading, portfolio management, P&L, risk, research, and operations.
-   Design and maintain data models and warehouse infrastructure using SQL and Snowflake.
-   Integrate applications with internal systems, data providers, and third-party APIs.
-   Build and improve LLM-based workflows, AI-enabled tools, agents, and structured data extraction.
-   Develop data-quality checks, monitoring, and alerting to improve reliability and data integrity.
-   Work closely with Quant Researchers and the CIO to translate research and business requirements into production systems.
-   Improve testing, documentation, code quality, and engineering practices across the team.

## Requirements

Strong Python and SQL skills; clean, testable code is a must.

Experience with Pandas or Polars.

Experience building APIs with FastAPI or similar Python frameworks.

Good understanding of relational databases and data modeling.

Experience building data pipelines or other data-intensive applications.

Comfortable with Git, testing, debugging, and maintaining production code.

Comfortable working across different parts of the stack and learning new technologies as needed.

Self-starter with strong problem-solving skills, attention to detail, and the ability to work autonomously in a lean, high-ownership environment.

Bachelor’s degree in Computer Science, Computer Engineering, or another computationally intensive field.

###   
Bonus points for

-   Experience with React, TypeScript, or other modern front-end technologies.
-   Experience with Snowflake and Airflow or another orchestration framework.
-   Familiarity with AWS, Docker, and CI/CD.
-   Experience with LLMs, agents, RAG, or AI APIs.
-   Experience with financial markets, commodities, systematic investing, or time-series data.

## Benefits

**Impact from day one:** Build mission-critical systems directly used by our investment and research teams.

**Direct exposure:** Work alongside the CIO and Quant Researchers, with a direct line to decision-making and fast feedback on what you build.

**Broad ownership:** Work across data, backend systems, internal applications, AI tooling, and trading infrastructure rather than being limited to one narrow area.

**Learning curve:** Deep exposure to commodity markets, machine-learning research workflows, and institutional-grade trading systems.

**Growth trajectory:** Clear path to increased scope, responsibility, and compensation as the fund scales.

**Attractive compensation:** Highly competitive base salary and annual bonus that scales with the business.

**Positive, inclusive, and encouraging work environment.**