Research Associate, Commodities Data Engineer (AI)

Location: Onsite four days per week at the New York City campus or Singapore office

Annual base salary: $150,000–$200,000, plus discretionary target bonus

Company

hirify.global is an asset management firm using research, technology, and investment principles to serve global institutional investors.

What you will do

• Source, maintain, and quality-check vendor data feeds, working directly with vendors to resolve discrepancies and communicate new features.
• Transform contract-level commodities market data into curves, spreads, aggregated indicators, and balance-ready inputs for research and portfolio decisions.
• Design, build, and maintain scalable data pipelines, schemas, ontologies, dashboards, and monitoring tools for systematic commodities strategies.
• Partner with investors, developers, and platform teams to make data research-ready, documented, reproducible, and reliable across simulation and live environments.
• Analyze datasets for distributions, coverage gaps, stability, and structural breaks, including traditional and alternative data sources.
• Research Asia and Chinese commodities markets and incorporate AI/ML technologies into the team’s research and data infrastructure.

Requirements

• 2–4 years of experience in data engineering, data science, or analyst roles at a commodity trading house, hedge fund, or research organization with exposure to commodities markets.
• Strong programming skills in Python and SQL, with experience writing production-quality, maintainable code.
• Experience with modern data platforms such as Snowflake or similar cloud data warehouses.
• Experience designing, documenting, and scaling commodities data and trading systems, preferably with systematic commodities trading experience.
• Strong foundation in statistics, especially time-series and cross-sectional analysis.
• Mandarin proficiency is strongly preferred; the role requires onsite attendance four days per week in New York City or Singapore.

Nice to have

• Familiarity with metals fundamentals and commodities market data.
• Experience with agricultural commodities, petrochemicals, or other commodity markets.
• Willingness to expand the toolkit to the Scala-based production stack.
• Interest in development-assistant technologies and productivity improvements.

Culture & Benefits

• Culture focused on truth, transparency, direct feedback, curiosity, and continuous improvement.
• Opportunities for personal growth and professional development through rigorous performance feedback.
• Competitive benefits package and variable compensation through a discretionary target bonus.
• Immigration sponsorship is provided for this position.