I'm partnering with a leading energy company that's expanding its quantitative analytics team and is looking for a Senior Associate focused on Battery Energy Storage Systems (BESS) Modeling & Structuring.
This is an opportunity to build and enhance advanced quantitative models that support:
- Battery storage dispatch optimization
- Power market forecasting (DA, RT, Ancillary Services)
- Structured products pricing
- Gas generation optimization
- Renewable energy analytics
- Trading, origination, and asset management decisions
What they're looking for:
- 3+ years of quantitative modeling experience
- Strong Python programming skills
- Experience with optimization tools (Gurobi, CPLEX, PuLP, etc.)
- Machine learning/deep learning experience (scikit-learn, TensorFlow, Keras)
- Knowledge of stochastic modeling and forecasting
- Understanding of wholesale power markets (ERCOT, CAISO, or other ISOs)
- Experience with BESS, renewables, or conventional generation is highly preferred
Preferred:
- Master's or PhD in a quantitative field
If you have a background in energy markets, quantitative modeling, optimization, or battery storage and would like to learn more, send me a direct message or comment below.