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 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; 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; Benchmark models against actual operations and market outcomes; Build and enhance CWENQuant; develop data pipelines, automated workflows, and market data dashboards; Design and maintain MtM, VaR, and PaR frameworks independent of the deal/trading desks; Run scenario, sensitivity, and stress-testing analyses; Quantify hedge effectiveness and basis risk for structured transactions, PPAs, and tolling/HRCO arrangements; 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, 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 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 top-notch optimization models and stochastic or ML/DL forecasting frameworks such as price, load, or renewable generation forecasting; Understanding of option pricing, volatility, game theory, opportunity cost, and optimization; 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; Ability to work well in a fast-paced, team-oriented, collaborative environment; Strong interpersonal, analytical, and problem-solving skills

Nice to have

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