Senior Associate, BESS Modeling & Structuring

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. If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume • 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. • Provide analytical insights from modeling results to support Clearway budget process, trading activities and/or market advocacy • Build and enhance CWENs quantitative modeling platform (CWENQuant); develop data pipelines with internal and external resources, create automated workflows to produce analysis, build market data dashboards with the use of data science and optimization. • Analyze trading forwards in comparison with actual/historical power prices and fundamental forecasts to inform a view on trading strategies, risk practices, origination deals, contract pricing • Provide analytical insights from modeling results to support risk management, trading activities and/or market advocacy • Stay abreast of changing market conditions at both macro and micro levels, and their impact on markets

• Bachelor’s degree in Computer Science, Engineering, or related field • Senior Associate: 3+ years of quantitative or modeling experience ideally, within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies. • Associate: <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 • Strong quantitative background with hand-on experience in coding in Python. • Knowledge of BESS (strongly preferred), renewable, conventional (gas) asset, HRCO, toll modeling • Strong understanding of power market economics, wholesale market structure, asset operations in ISO (CAISO, ERCOT, etc) markets • Proven ability to build high-quality, robust, and scalable quantitative, optimization models and stochastic or ML/DL forecasting frameworks such as price, load, or renewable generation forecasting • Ability to formulate and articulate viewpoints (written and verbal) in a clear, persuasive, and succinct manner • Ability to handle multiple concurrent efforts and provide high-quality deliverables accurately and on time • Ability to collaborate effectively across teams, communicate clearly, and contribute to a high-performing, respectful work environment that emphasizes attention to detail, meeting deadlines and working together to achieve company-wide objectives • Strong interpersonal, analytical, and problem-solving skills • Demonstrated ability to produce accurate, high-quality work in a fast-paced, deadline-driven environment • Strong ownership mindset with a commitment to delivering results and continuous improvement • Demonstrated curiosity and willingness to continuously learn and adapt in a rapidly evolving energy and market environment