Quantitative Power Trader — ERCOT/PJM, Fast-Paced

Base Power Company; Austin (TX); On-site; USD 180,000 - 300,000; Full time

Job summary

Base is seeking a Quantitative Trader to trade ERCOT retail load and battery fleet, starting with a short-term strategy (up to 30 days) and expanding to PJM and beyond. You will help supplement Base’s long-term strategy with a rigorous, portfolio-construction approach to manage exposure across generation and load.

You’ll trade power products, build pricing models in Python, and contribute to in-house price views and risk decisions.

Qualifications

• Experience trading power products on a bank, utility, or merchant trading desk
• Hands-on proficiency building statistical and pricing models using Python
• Demonstrated experience in portfolio construction — architecting hedges across a book of exposures
• Strong fundamentals-based market view: congestion, transmission constraints, load/generation balance
• Deep experience in any ISO (ERCOT focus currently) and expansion to PJM

Responsibilities

• Trade short-term power products to capture incremental margin, with room to extend into longer-horizon and structured positions
• Strengthen hedge strategy with a portfolio-construction-based approach across the battery fleet and retail load book
• Contribute to Risk & Trading's long-term price forecasts using market fundamentals
• Articulate market views, trading rationale, and P&L drivers to leadership
• Evaluate capacity markets and other structured products in ERCOT and PJM

Skills

Power trading

Portfolio construction

Market fundamentals

ISO experience

Independent contributor

Tools

Python

Job description

Base is seeking a Quantitative Trader to trade ERCOT retail load and battery fleet, starting with a short-term strategy (up to 30 days) and expanding to PJM and beyond. You will help supplement Base’s long-term strategy with a rigorous, portfolio-construction approach to manage exposure across generation and load.

You’ll trade power products, build pricing models in Python, and contribute to in-house price views and risk decisions.