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.