Quantitative Developer - Commodities

• Early-career experience, with up to 4 years of relevant professional experience preferred.

• Strong Python fundamentals for data science, along with SQL and database development experience. • Experience across the data pipeline lifecycle, including data access, transformation, modeling libraries, and data analysis tools. • Ability to work independently with hands-on experience across the full software development lifecycle and relevant development tools. • Familiarity with agentic tools is highly preferred. • Prior experience as a Quantitative Developer or Data Scientist within the financial industry is highly preferred. • Commodities knowledge and hands-on statistical or data modeling experience are highly preferred. • Familiarity with technologies and libraries such as Airflow, Flask, and React is highly preferred.