Commodity Trader - Agronomy (AI & Quantitative Strategy Focus)

Responsibilities

• Manage a defined commodity portfolio or support senior traders with direct accountability for performance and risk exposure
• Develop and execute trading strategies within approved risk limits
• Actively manage price, basis, and structural risk
• Lead or contribute to global supply and demand modeling, scenario analysis, and market point-of-view development
• Apply statistical, quantitative, and AI-driven techniques to improve forecasting and identify trade opportunities
• Translate complex market data into actionable trading strategies
• Build and maintain analytical models, dashboards, and decision tools to support trading and risk management
• Automate data pipelines and improve speed and quality of market insights
• Partner with internal teams to integrate advanced analytics into commercial workflows
• Collaborate with sales, logistics, finance, and risk teams to execute trades and optimize outcomes
• Engage with customers, suppliers, and counterparties to support commercial growth
• Influence broader trading strategy and contribute to team development of market POV

Qualifications

• High School diploma or GED
• 4+ years of experience in commodity trading, procurement, or related markets including demonstrated experience in market analysis, supply/demand fundamentals, or quantitative modeling
• Bachelor’s degree preferred in Ag Business, Economics, Finance, Engineering, Data Science, or related field
• Experience with Excel-based modeling and data analysis
• Programming experience (Python, R, SQL or similar) preferred
• Experience with data visualization tools (Power BI, Tableau)
• Strong understanding of global commodity markets and logistics
• Ability to translate data insights into commercial decisions
• Experience with AI/ML applications in forecasting or trading analytics preferred