Software Engineer - Systematic Commodities Hedge Fund

Moreton Capital Partners; Ciudad de México; On-site; MXN 400,000 - 680,000; Full time

Job summary

Moreton Capital Partners is seeking a Software Engineer to own infrastructure for research, trading, and investment decision-making. You will build data pipelines, backend services, and AI-enabled tools in a fast-moving capital environment.

You will collaborate with Quant Researchers and the CIO, translating research requirements into production systems while improving testing, documentation, and code quality across the team.

Qualifications

• Proficient in Python and SQL with clean, testable code.
• Experience with Pandas or Polars.
• Experience building APIs with FastAPI or similar Python frameworks.
• Strong understanding of relational databases and data modeling.
• Experience building data pipelines or data-intensive applications.
• Comfortable with Git, testing, debugging, and maintaining production code.
• Self-starter with ability to work autonomously in a lean environment.
• Bachelor's degree in Computer Science, Computer Engineering, or related field.

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.

Skills

Python

SQL

Pandas/Polars

APIs (FastAPI)

Relational databases

Data pipelines

Git & testing

Autonomy

Education

Bachelor's degree in Computer Science or related

Tools

FastAPI

Job 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.