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About the Role
Quant Analysts build and improve the models that drive Base’s Trading & Risk platform, spanning our distributed fleet of batteries and households. You will own price models for wholesale markets like ERCOT and PJM, and develop hedging strategies to manage risk.
Responsibilities
- Improve Base’s price distributions by capturing grid congestion effects.
- Build a price model for PJM to track risk and make hedging decisions.
- Build a hedging strategy for PJM using the developed models.
Requirements
- Understand wholesale energy market operations (e.g., ERCOT), including real-time arbitrage, ancillary services, and capacity.
- Familiarity with unit commitment, economic dispatch, and production cost modeling.
- Build models in Python (or another language) and pull data with SQL.
- Understand the bias-variance tradeoff, train/validation/test evaluation, and loss functions for categorical and continuous targets.
- Deep familiarity with at least one statistical subfield (e.g., extreme value theory, information theory, stochastic processes).
- Experience deploying models to production with versioning and maintenance.
- Experience scaling training beyond a single machine.
- Proficiency in Python, pandas, and visualization libraries.
Skills
- Quantitative analysis
- Software engineering
- Energy market expertise
- Python
- SQL
- Statistics
- Machine learning
- Extreme value theory
- Information theory
- Stochastic processes
- Pandas
- Visualization libraries
Location
- In-person
Work Type
- Full-time
Experience Level
- Mid-to-senior level
About the Company
- Base is America’s next-generation power company, rebuilding the foundation of electricity by deploying distributed batteries to transform the grid into a resilient and abundant system.
- Base is a startup where priorities shift and evolve quickly.