Senior Associate, Risk and Structuring Analytics

What The Role Is Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to develop top-notch quantitative models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis, while also quantifying and monitoring the risk exposures those positions create. In this role, you will build and enhance Clearway’s internal quantitative modeling platform (CWENQuant), develop advanced BESS dispatch optimization and price forecasting models, and provide independent risk analytics — mark-to-market, value-at-risk, credit, and scenario/stress analysis — that directly inform commercial decisions across trading, origination, development, and asset management. What You'll Be Doing Quantitative/Economic Modeling 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 fundamental variables such as load, gas prices, and 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. Refine vendor models or develop in-house models for capacity expansion with a view on market policy (RPS/GHG reduction), LCOEs, retirements, transmission, reliability, and demand growth. Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization. Build and enhance CWENQuant; develop data pipelines with internal and external resources; create automated workflows and market data dashboards using data science and optimization techniques. Design and maintain mark-to-market (MtM), Value-at-Risk (VaR), and Profit-at-Risk (PaR) frameworks across BESS, gas, and structured product positions, independent of the deal/trading desks that originate them. Run scenario, sensitivity, and stress-testing analyses (price shocks, volatility regimes, basis blowouts, extreme weather/renewable generation outcomes) to quantify tail risk in the portfolio. Quantify hedge effectiveness and basis risk for structured transactions, PPAs, and tolling/HRCO arrangements; recommend hedge adjustments. What You'll Bring Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field. 3+ years of quantitative or modeling experience within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies. 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. Strong quantitative background with deep hands-on experience coding in Python. Knowledge of BESS (strongly…