Senior Associate, BESS Modeling & Structuring

Clearway Energy seeks a Senior Associate for BESS Modeling & Structuring in Princeton, New Jersey to design and deploy quantitative models that inform battery energy storage valuation, structured product pricing, conventional generation optimization, and power market analysis. You will build and enhance Clearway's internal modeling platform (CWENQuant), develop advanced BESS dispatch optimization algorithms, and directly influence major commercial and trading decisions across the organization.

Responsibilities

• Develop and deploy production-ready optimization models and quantitative analysis for BESS dispatch, renewables, gas generation, and data center infrastructure across US markets
• Build stochastic and machine learning/deep learning models to forecast day-ahead, ancillary, and real-time power prices based on fundamental variables (load, gas prices, wind and solar generation) to support trading strategies
• Develop and maintain gas dispatch, heat rate, toll, and other structured product pricing models; perform mark-to-market analysis and support underwriting, due diligence, and credit analytics
• Validate models against actual operations and market outcomes to refine forecast accuracy and optimization performance
• Construct and enhance CWENQuant platform capabilities, including data pipelines from internal and external sources, automated workflows for analysis production, and market data dashboards using data science and optimization techniques
• Analyze power forward contracts against actual and historical prices and fundamental forecasts to inform trading strategy, risk management, and deal origination
• Monitor macro and micro market conditions and assess their impact on wholesale power markets

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of quantitative modeling or analytics experience, ideally within energy sector (trading firms, banks, utilities, independent power producers, ISOs, or battery storage companies)
• Advanced proficiency in Python
• Working experience with machine learning and deep learning libraries (scikit-learn, Keras, TensorFlow)
• Hands-on experience with linear and mixed-integer programming tools (PuLP, Gurobi, CPLEX)
• Working experience developing stochastic models from scratch
• Proficiency in SQL and/or R
• Knowledge of BESS, renewable energy, conventional gas asset, heat rate, and toll modeling (strongly preferred)
• Understanding of wholesale power market economics, ISO market structure (CAISO, ERCOT, etc.), and asset operations within those markets
• Demonstrated ability to build robust, scalable optimization models and stochastic or ML/DL forecasting frameworks (price, load, renewable generation forecasting)
• No visa sponsorship available for this role

Benefits

• Salary range: $137,000 – $177,000 USD annually (Senior Associate level); eligible for annual cash bonus based on personal and company performance
• Comprehensive benefits including medical, dental, and vision coverage; HSA with company contributions; health and dependent care FSAs
• 401(k) plan with employer match
• Life and accident insurance
• Generous paid time off and parental leave
• Tuition reimbursement and fertility programs
• Adoption assistance
• Relocation and commuter benefits
• Hybrid work arrangement: on-site collaboration in Princeton office typically on Tuesdays and Thursdays, with company-provided meals and events