Commodities Research Associate
$150,000–$200,000 year
On-siteNew York City, New York, United States
Job Summary
Source and maintain vendor data feeds, resolving quality issues and communicating new features directly with vendors. Transform granular market data into derived analytical constructs like curves and spreads that feed research and portfolio decisions. Build infrastructure for supply/demand balance models and maintain dashboards tracking data health and market conditions. Partner with investors to research commodity markets, specifically Asia and Chinese commodities, and incorporate AI/ML into the research infrastructure. Design and maintain robust, scalable data pipelines and the team's data ontology while driving your own agenda to spot gaps before they occur.
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
- Experience designing, documenting, and scaling commodities data and trading systems
- Strong desire to work with new development assistant technologies to drive productivity
- Willingness to expand toolkit to adapt to our scala based production stack
- Experience working with modern data platforms (e.g. Snowflake or similar cloud data warehouses)
- Strong programming skills in Python and SQL preferred
- Experience with systematic commodities trading strongly preferred
- 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 desire to work with new development assistant technologies to drive productivity
- 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
- 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 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
- Solid foundation in statistics, particularly time-series and cross-sectional analysis
- Mandarin proficiency strongly preferred
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