Teza Technologies
Systematic Portfolio Manager, Agriculture
Austin
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- This role is ideal for someone who combines deep knowledge of agricultural commodity fundamentals with a quantitative mindset.
- You'll work alongside experienced quantitative researchers, engineers, and data specialists while having the autonomy to shape research direction, portfolio construction, and execution.
Responsibilities
- Develop and manage systematic trading strategies across agricultural commodity markets.
- 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.
- Partner closely with quantitative developers to productionize research and build scalable trading systems.
- Experience building systematic investment strategies rather than discretionary trading alone.
- Intellectual curiosity and a passion for developing new sources of alpha.
Requirements
- Several years of experience managing or researching systematic commodity strategies.
- Excellent Python programming skills and the ability to work with large datasets.
- Strong understanding of portfolio construction, risk management, and systematic execution.
Nice to have
- Experience trading multiple commodity sectors beyond agriculture.
- 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
- Strong quantitative background with experience applying statistical or machine learning techniques to financial markets.
This listing is sourced directly from Teza Technologies's careers page and normalized into a canonical job model.