Energy Markets Quant: ERCOT/PJM Pricing & Hedging

Base Power Company; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Base is building a trading and risk platform around a distributed battery fleet. As a Quant Analyst, you will own price models for ERCOT and PJM and contribute to shaping Base’s hedging strategy.

This mid-to-senior role blends quantitative analysis, software engineering, and energy market expertise. You’ll extend the ERCOT model to PJM, capture grid congestion effects, and help turn analytics into real-world risk management.

Qualifications

• Energy markets and domain knowledge: you understand wholesale energy market operations like ERCOT, including real-time arbitrage, ancillary services, and capacity, along with unit commitment, economic dispatch, and production cost modeling.
• Coding and SQL: you build models in Python and pull your own data with SQL, and you can work through a model independently.
• Statistics and machine learning: you understand bias-variance tradeoff, train/validation/test evaluation, and loss functions, with production deployment and scalable training.

Responsibilities

• Improve Base’s price distributions by capturing grid congestion effects.
• Build a price model for PJM to track risk and hedging decisions.
• Build a hedging strategy for PJM using the models you build.

Skills

Energy markets knowledge

Python

SQL

Statistics

Machine learning

Data visualization

Tools

pandas

Visualization libraries

Job description

Base is building a trading and risk platform around a distributed battery fleet. As a Quant Analyst, you will own price models for ERCOT and PJM and contribute to shaping Base’s hedging strategy.

This mid-to-senior role blends quantitative analysis, software engineering, and energy market expertise. You’ll extend the ERCOT model to PJM, capture grid congestion effects, and help turn analytics into real-world risk management.