Portfolio Manager, Systematic Agriculture

Key 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, inventories, positioning, macroeconomic data, and other alternative data sources.
• Design and evaluate new signals through rigorous research, backtesting, and performance attribution.
• Continuously improve portfolio construction, risk allocation, and execution efficiency.
• Partner closely with quantitative developers to productionize research and build scalable trading systems.
• Work across the full research lifecycle, from idea generation through live deployment and ongoing monitoring.

Basic Requirements

• Deep understanding of agricultural commodity markets, including supply and demand dynamics, seasonal effects, logistics, weather, and global trade flows.
• Several years of experience managing or researching systematic commodity strategies.
• Strong quantitative background with experience applying statistical or machine learning techniques to financial markets.
• Excellent Python programming skills and the ability to work with large datasets.
• Experience building systematic investment strategies rather than discretionary trading alone.
• Strong understanding of portfolio construction, risk management, and systematic execution.
• Intellectual curiosity and a passion for developing new sources of alpha.

Nice to Have

• Experience trading multiple commodity sectors beyond agriculture.
• Familiarity with alternative datasets, remote sensing, satellite imagery, 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.