Portfolio Manager, Systematic Agriculture

Responsibilities

• Develop and manage systematic trading strategies across agricultural commodity markets
• Generate alpha by combining fundamental commodity research with quantitative modeling and statistical analysis
• Build predictive models using datasets such as weather, crop conditions, satellite imagery, freight flows, and macroeconomic data
• Design and evaluate new signals through rigorous research, backtesting, and performance attribution
• Improve portfolio construction, risk allocation, and execution efficiency
• Partner with quantitative developers to productionize research and build scalable trading systems

Requirements

• Deep understanding of agricultural commodity markets, supply/demand dynamics, and global trade flows
• Several years of experience managing or researching systematic commodity strategies
• Strong quantitative background with statistical or machine learning experience
• Excellent Python programming skills and experience with large datasets
• Experience building systematic investment strategies
• Strong understanding of portfolio construction and risk management

Preferred Qualifications

• Experience trading multiple commodity sectors beyond agriculture
• Familiarity with alternative datasets, remote sensing, or geospatial analytics
• Experience with machine learning applied to commodity forecasting
• Knowledge of real-time research infrastructure and production trading systems
• Graduate degree in a quantitative discipline
• Track record of managing external or proprietary capital

Benefits

• Health, visual and dental insurance
• Flexible sick time policy