Senior Associate, Risk and Structuring Analytics

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.

Responsibilities

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 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, automated workflows, and market data dashboards; Design and maintain MtM, Value-at-Risk (VaR), and Profit-at-Risk (PaR) frameworks independent of the deal/trading desks; Run scenario, sensitivity, and stress-testing analyses to quantify tail risk; Quantify hedge effectiveness and basis risk for structured transactions, PPAs, and tolling/HRCO arrangements and recommend hedge adjustments

Requirements

Bachelor's degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field; 3+ years of quantitative or modeling experience within the energy sector (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 tools like PuLP, Gurobi, CPLEX, etc.; Strong quantitative background with deep hands-on Python coding; Knowledge of BESS (strongly preferred), renewable, and conventional (gas) assets, HRCO, and toll modeling; Strong understanding of power market economics, wholesale market structure, and asset operations in ISO (CAISO, ERCOT, etc.) markets; Proven ability to build optimization models and stochastic or ML/DL forecasting frameworks (price, load, or renewable generation); Understanding of option pricing, volatility, game theory, opportunity cost, and optimization; Ability to articulate viewpoints clearly, persuasively, and succinctly, both written and verbal; Ability to handle multiple concurrent efforts and deliver high-quality, accurate work; Ability to work in a fast-paced, team-oriented, collaborative environment; Strong interpersonal, analytical, and problem-solving skills

Nice to have

Python is a must; R, SQL, etc. are a plus; Working experience with stochastic models, mean reversion, and jump diffusion preferred; Exposure to ETRM systems, MtM, and VaR model validation/governance practices is a plus; Master's or PhD is preferred

Benefits

Generous PTO; medical, dental and vision care; HSAs with company contributions; health FSAs; dependent daycare FSAs; commuter benefits; relocation; 401(k) plan with employer match; life and accident insurances; fertility programs; adoption assistance; generous parental leave; tuition reimbursement; benefits for employees in same-sex marriages, civil unions and domestic partnerships; annual cash bonus eligibility subject to personal and company performance goals