clearwayjobs
Senior Associate, BESS Modeling & Structuring
At a Glance
- Location
- Scottsdale, Arizona, United States
- Work Regime
- hybrid
- Experience
- 3+ years
- Compensation
- all US Locations: Associate: $115,000 - $150,000 USD Sr. Associate: $137,000 -
- Posted
- 2026-06-10T13:35:30-04:00
Key Requirements
Required Skills
Domain Knowledge
- Energy
- Engineering
Requirements
3+ years of quantitative or modeling experience ideally, within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
<3 years years of quantitative or modeling experience ideally, within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
Programming skills required: Python is a must, R, SQL, etc.
Working experience developing ML/DL models using scikit-learn, Keras, or TensorFlow
Experience with linear/Mixed Integer programming and associated tools like PuLP, Gurobi, CPlex etc
Working experience with stochastic models and the ability to develop models from scratch
Responsibilities
Clearway Energy seeks an Associate or Senior Associate of BESS Modeling and Structuring to develop top-notch quantitative models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis.
In this role, you will be building Clearway’s internal quantitative modeling platform (CWENQuant), developing advanced BESS dispatch optimization models, and directly impacting major commercial decisions across trading/origination/development/asset management.
Develop and deploy to production complex optimization models and quantitative analysis for BESS dispatch optimization, renewables, gas generation, and data center infrastructure projects across the US.
Develop Stochastic or Machine Learning/Deep Learning models to forecast DA, Ancillary and RT prices based on the fundamental variables such as load, gas prices, wind + solar generation to inform trading.
Develop and maintain gas dispatch, HRCO, toll, and other structured pricing models, perform mark-to-market analysis, support due diligence, underwriting, and credit analytics.
Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization.