Systematic Portfolio Manager, Energy
Required skills
- Systematic Portfolio Manager
- energy markets
- quantitative mindset
- trading strategies
- fundamental market data
- weather data
- supply and demand dynamics
- physical flows
- positioning
- quantitative researchers
Nice to have
- machine learning
- energy forecasting
- commodity forecasting
- real-time research infrastructure
- production trading systems
- quantitative discipline
Role summary
Seeking an experienced Systematic Portfolio Manager to build and scale trading strategies in global energy markets. This role requires a blend of deep energy market knowledge and a quantitative mindset, involving the development of trading signals using fundamental data, weather, supply/demand dynamics, and physical flows. You will work with quantitative researchers and engineers, having autonomy over research direction, portfolio construction, and execution. The ideal candidate possesses expertise across various energy markets, strong quantitative and Python skills, and experience in systematic investment strategies, portfolio construction, and risk management.
We're looking for an experienced Portfolio Manager to build and scale systematic trading strategies across global energy markets.
This role is ideal for someone who combines strong knowledge of energy markets with a quantitative mindset. You'll develop trading strategies using fundamental market data, weather, supply and demand dynamics, physical flows, positioning, and other datasets.
You'll work alongside experienced quantitative researchers, engineers, and data specialists while having the autonomy to shape research direction, portfolio construction, and execution.
LocationAustin, TX (onsite) or London, UK (onsite)
Key Responsibilities
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 various datasets ranging from technical (price/volume) to 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.
Basic Requirements
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.
Nice to Have Requirements
Experience with machine learning applied to energy or 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
