Teza Technologies

3 weeks ago

Portfolio Manager, Systematic Agriculture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 minutes agoStatus: Live

Job Summary

Build and scale systematic trading strategies across global agricultural commodity markets by combining agricultural fundamentals with quantitative modeling and statistical research. Develop predictive models using weather, satellite imagery, freight flows, inventories, positioning, macroeconomic data, and other alternative datasets. Own the full research-to-deployment lifecycle—design signals, run backtests and performance attribution, and continuously improve portfolio construction, risk allocation, and execution in partnership with quantitative developers.

Location: Austin, London

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

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, and macroeconomic data.
•Design and evaluate new signals through rigorous research, backtesting, and performance attribution.
•Collaborate with quantitative developers to productionize research and improve portfolio construction, risk allocation, and execution efficiency.

Pay and Benefits

Perks:Health InsuranceVisionDentalPaid Leave

Key Requirements

•Deep understanding of agricultural commodity markets, including supply/demand dynamics, seasonal effects, logistics, weather, and global trade flows.
•Several years of experience managing or researching systematic commodity strategies.
•Strong quantitative background applying statistical or machine learning techniques to financial markets.
•Excellent Python programming skills and ability to work with large datasets.
•Experience building systematic investment strategies with strong portfolio construction, risk management, and systematic execution.

Experience:CommoditiesSystematic trading

Skills:Intellectual curiosity

Tech Stack:Python

Company Brief

Teza Technologies

Teza Technologies is a quantitative trading firm that develops algorithmic trading strategies, proprietary research, and technology infrastructure for global markets, focusing on systematic execution, data science, and high-performance computing.

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Chicago, United States

Website LinkedIn

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Teza Technologies

3 weeks ago

Portfolio Manager, Systematic Agriculture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 minutes agoStatus: Live

Job Summary

Location: Austin, London

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Manager level

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, and macroeconomic data.
•Design and evaluate new signals through rigorous research, backtesting, and performance attribution.
•Collaborate with quantitative developers to productionize research and improve portfolio construction, risk allocation, and execution efficiency.

Pay and Benefits

Perks:Health InsuranceVisionDentalPaid Leave

Key Requirements

•Deep understanding of agricultural commodity markets, including supply/demand dynamics, seasonal effects, logistics, weather, and global trade flows.
•Several years of experience managing or researching systematic commodity strategies.
•Strong quantitative background applying statistical or machine learning techniques to financial markets.
•Excellent Python programming skills and ability to work with large datasets.
•Experience building systematic investment strategies with strong portfolio construction, risk management, and systematic execution.

Experience:CommoditiesSystematic trading

Skills:Intellectual curiosity

Tech Stack:Python

Company Brief

Teza Technologies

Industry: Hedge Funds

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Chicago, United States

Website LinkedIn