Senior Associate, Risk and Structuring Analytics

clearwayjobs; San Francisco (CA); Hybrid; USD 140,000 - 178,000; Full time

Job summary

Clearway Energy Group seeks a Senior Associate of Risk and Structuring Analytics to develop quantitative models for BESS valuation, structured products pricing, gas generation optimization, and power market analysis, informing commercial decisions across trading, origination, development, and asset management.

You will build CWENQuant, implement risk frameworks (MtM, VaR, PaR), and run scenario and stress tests, working in a fast-paced team environment with emphasis on accuracy and deadlines.

Qualifications

• Bachelor's degree in Engineering, Finance, Mathematics, Statistics, Economics, or related field.
• 3+ years of quantitative or modeling experience within the energy sector (trading firms, banks, utilities, IPPs, ISOs, or BESS).
• Experience with ML/DL models using scikit-learn, Keras, or TensorFlow.
• Experience with linear/Mixed Integer programming and tools like PuLP, Gurobi, CPLEX.
• Strong Python coding experience.
• Knowledge of BESS, renewables, and gas assets, HRCO, and toll modeling.
• Strong understanding of power market economics and ISO markets (CAISO, ERCOT, etc.).
• Proven ability to build optimization models and ML/DL forecasting frameworks.
• Understanding of option pricing, volatility, and game theory.
• Excellent written and verbal communication; ability to manage multiple tasks.

Responsibilities

• Develop and deploy complex optimization models and quantitative analyses for BESS dispatch, renewables, gas, and data center projects.
• Develop stochastic or ML/DL models to forecast prices based on load, gas, and renewable generation.
• Maintain gas dispatch, HRCO, toll, and structured pricing models; perform MtM analysis; support due diligence, underwriting, and credit analytics.
• Refine vendor models or develop in-house models for capacity expansion considering policy, LCOEs, retirements, and transmission.
• Benchmark models against actual operations to improve forecast accuracy.
• Build and enhance CWENQuant; create data pipelines and automated workflows and dashboards.
• Design MtM, VaR, and PaR frameworks for all positions independently of deal desks.
• Run scenario, sensitivity, and stress-testing analyses to quantify tail risk.

Skills

Python programming

ML/DL models

Optimization models

Stochastic forecasting

Data analysis

Education

Bachelor's degree or higher

Master’s or PhD preferred

Tools

PuLP

Gurobi

CPLEX

scikit-learn

TensorFlow

Keras

Job description

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 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 that emphasizes attention to detail, meeting deadlines, and working together to achieve company-wide objectives.
• Strong interpersonal, analytical, and problem-solving skills.

What Would Be Nice

• Programming skills required: 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.

No visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.

#LI-Hybrid

The pay rate for the successful candidate will depend on geographic location, skills, relevant and demonstrated experience, education, training and certifications, and other factors permitted by law. This role is eligible to earn an annual cash bonus, subject to personal and company performance goals.

Salary Range Across all U.S. Locations

$140,000 - $178,000 USD

Clearway Energy Group is leading the transition to a world powered by clean energy. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.6 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage