Teza Technologies
Portfolio Manager, Systematic Agriculture
1w ago
USASeniorquantitative modelingstatistical analysisbacktestingportfolio constructionrisk allocation
Manage and develop systematic trading strategies in agricultural markets combining commodity fundamentals with quantitative data.
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.
Conditions
- Health, visual and dental insurance
- Flexible sick time policy
Other
- We're looking for an experienced Portfolio Manager to build and scale systematic trading strategies across global agricultural markets.
- This role is ideal for someone who combines deep knowledge of agricultural commodity fundamentals with a quantitative mindset. You'll have the opportunity to develop differentiated alpha by integrating supply and demand dynamics, weather, satellite imagery, logistics, positioning, and alternative datasets into systematic trading models.
- You'll work alongside experienced quantitative researchers, engineers, and data specialists while having the autonomy to shape research direction, portfolio construction, and execution. Location Austin, TX or London, UK (onsite) 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.