Research Associate, Commodities Data Engineer
$150,000–$200,000 year
On-siteNew York City, New York, United States
Job Summary
Source and maintain vendor data feeds, transforming granular market data into derived analytical constructs that feed directly into research and portfolio decisions. Build robust, scalable data pipelines supporting systematic commodities strategies, from raw inventory and production data to balance-ready inputs for supply/demand models. Design and maintain dashboards and monitoring tools to track data health and market conditions, flagging breaks before they affect the book. Partner with investors and developers to ensure data is research-ready, while interrogating datasets to understand distributions, coverage gaps, and structural breaks. This role sits within the Asia Strategies department, specifically the Asia Commodities team, where you will develop expertise in Asia and Chinese commodities markets. You will drive your own agenda to build serious infrastructure while staying close to live investment decisions.
Required Qualifications
- 2–4 years of experience in a data engineering, data science, or analyst role at a commodity trading house, hedge fund, or research organization with exposure to commodities markets
- Solid foundation in statistics, particularly time-series and cross-sectional analysis
- Mandarin proficiency strongly preferred
Desired Qualifications
- Familiarity with metals fundamentals and commodities market data preferred
- Additional experience with other commodities (e.g. Ags, PetChem) would be a plus
- Experience with systematic commodities trading strongly preferred
- Strong programming skills in Python and SQL preferred
- Experience writing production-quality, maintainable code
- Experience working with modern data platforms (e.g. Snowflake or similar cloud data warehouses)
- Willingness to expand toolkit to adapt to our scala based production stack
- Strong desire to work with new development assistant technologies to drive productivity
- Experience designing, documenting, and scaling commodities data and trading systems
- Individuals must demonstrate humility, innate curiosity, and openness to new ideas and approaches
- Candidates must be driven, confident, and goal-oriented
- All Bridgewater employees are expected to be honest, exceptionally direct, and eager to provide and receive objective feedback
- Our employees constantly strive for self-improvement through feedback and self-reflection and are committed to the pursuit of excellence
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