Quantitative Power Trader, ERCOT & PJM

Base Power; Austin (TX); On-site; USD 180,000 - 290,000; Full time

Job summary

Base is seeking a Quantitative Trader in Austin to develop short-term strategies for ERCOT with expansion toward PJM and other ISOs. You will build rigorous pricing models in Python and apply a portfolio approach to manage exposure across generation and load.

The role emphasizes hands-on analysis in a fast-moving, team-driven environment. You will reshape trading strategies, articulate market views, and contribute to risk and trading's long-term price views.

Qualifications

• Experience trading power products on a bank, utility, or merchant desk.
• Hands-on proficiency building statistical and pricing models in Python.
• Demonstrated experience architecting hedges across a portfolio of exposures.
• Strong understanding of congestion, transmission constraints, and price formation.

Responsibilities

• Trade short-term power products to capture incremental margin, with room to extend into longer horizons.
• Strengthen hedge strategy with portfolio-construction across the battery fleet and retail load.
• Contribute to long-term price forecasts using market fundamentals.
• Articulate market views, trading rationale, and P&L drivers to leadership.
• Evaluate capacity markets and structured products in ERCOT and PJM, expanding beyond.

Skills

Power trading

Portfolio construction

Market fundamentals

ISO experience

Independent contributor

Tools

Python

Job description

Base is seeking a Quantitative Trader in Austin to develop short-term strategies for ERCOT with expansion toward PJM and other ISOs. You will build rigorous pricing models in Python and apply a portfolio approach to manage exposure across generation and load.

The role emphasizes hands-on analysis in a fast-moving, team-driven environment. You will reshape trading strategies, articulate market views, and contribute to risk and trading's long-term price views.