Portfolio Manager, Systematic Agriculture

Teza Technologies


Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary


Were 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. Youll 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.

Youll 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.

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.

Benefits

  • Health visual and dental insurance

  • Flexible sick time policy


Required Experience:

Manager

Were 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. Youll have the opportunity to develop d...

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