Portfolio Manager, Energy

Teza Technologies

. Develop and manage systematic trading strategies across global energy markets.

Posted 10/5/2026full-timeAustin • Texas • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and managing systematic trading strategies within global energy markets, utilizing quantitative modeling and statistical analysis to generate trading signals and improve portfolio construction. Proficient in Python programming and experienced in applying machine learning techniques to energy market forecasting.

Highest-signal resume keywords

Systematic Trading StrategiesQuantitative ModelingPython ProgrammingPortfolio ConstructionEnergy Market Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMachine LearningData AnalysisRisk ManagementPredictive Modeling

Soft Skills

CollaborationResearch Direction

Tools & Technologies

Research InfrastructureProduction Trading Systems

Industry Keywords

Energy MarketsPowerNatural GasCrude OilRefined Products

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and manage systematic trading strategies across global energy markets.
Generate trading signals by combining fundamental energy market research with quantitative modeling and statistical analysis.
Build predictive models using technical price/volume data and alternative data sources.
Design and evaluate new signals.
Improve portfolio construction, risk allocation, and execution.
Work across the full research lifecycle, from idea generation through live deployment and ongoing monitoring.
Work alongside quantitative researchers, engineers, and data specialists while shaping research direction, portfolio construction, and execution.

Requirements

What you’ll need

Experience across multiple energy markets, including power, natural gas, crude oil, or refined products.
Deep understanding of energy markets, including supply and demand modelling, seasonality, storage, logistics, and physical market flows.
Several years of experience managing or researching systematic energy or 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.
Strong interest in energy markets and quantitative research.
Experience with machine learning applied to energy or commodity forecasting.
Knowledge of real-time research infrastructure and production trading systems.
Track record of managing external or proprietary capital.

Benefits

Comp & perks

Health, visual and dental insurance
Flexible sick time policy