Clearway Energy
Senior Associate, Risk and Structuring Analytics
$140K–$178K
Scottsdale, Arizona, United States +5 · Senior · Full-time · Posted Oct 5, 2026
- Location
- Scottsdale, Arizona, United States
Denver, Colorado, United States
Houston, Texas, United States
Princeton, New Jersey, United States
San Diego, California, United States
San Francisco, California, United States - Experience
- 3+ years of quantitative or modeling experience within the energy sector.
- Education
- Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field; Master’s or PhD preferred.
- Visa sponsorship
- No visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.
About the job
Develops quantitative models and independent risk analytics for energy storage, generation, structured products, and power markets to inform commercial decisions.
What you'll do
- Build and deploy optimization, price-forecasting, and structured-pricing models; enhance the CWENQuant platform and related data workflows.
- Analyze market and asset performance, and support due diligence, underwriting, and credit analytics.
- Monitor portfolio risk through mark-to-market, VaR, scenario and stress testing, and hedge-effectiveness analysis.
What they ask for
- Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field.
- 3+ years of quantitative or modeling experience within the energy sector.
- Working experience developing ML/DL models using scikit-learn, Keras, or TensorFlow; experience with linear/Mixed Integer programming and associated tools.
- Strong quantitative background and hands-on Python coding; knowledge of power-market economics and asset operations in ISO markets.
Nice to have
- Knowledge of BESS (strongly preferred), renewable, and conventional (gas) assets, HRCO, and toll modeling.
- Stochastic modeling, mean reversion, jump diffusion, ETRM systems, or MtM and VaR model validation/governance; Master’s or PhD.
Pay
$140,000 — $178,000 USD (base salary)
Tools
Python, scikit-learn, Keras, TensorFlow, PuLP, Gurobi, CPLEX, R
AI focus
Develops machine-learning/deep-learning and stochastic forecasting models for day-ahead, ancillary, and real-time power prices.
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