Software Engineer - Systematic Commodities Hedge Fund

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