Clearway Energy
Senior Associate, Risk and Structuring Analytics
$140K–$178K
San Diego, California, United States +5 · Senior · Full-time · Posted Oct 6, 2026
- Location
- San Diego, California, United States
Denver, Colorado, United States
Houston, Texas, United States
Princeton, New Jersey, United States
San Francisco, California, United States
Scottsdale, Arizona, 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 is 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 energy-market models and independent risk analytics to support valuation, trading, structured pricing, and commercial decisions.
What you'll do
- Build and deploy optimization, forecasting, and pricing models for battery storage, renewables, gas generation, and energy projects.
- Develop and maintain CWENQuant, data pipelines, automated workflows, and market-data dashboards.
- Measure portfolio exposure through mark-to-market, VaR, PaR, scenario and stress analyses, 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.
- Strong Python coding experience and experience with linear/Mixed Integer programming and associated tools.
Nice to have
- Knowledge of BESS, renewable, and conventional (gas) assets, HRCO, and toll modeling; BESS is strongly preferred.
- Experience with stochastic models, mean reversion, and jump diffusion; exposure to ETRM systems and MtM/VaR model validation or governance is a plus.
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 models to forecast power prices and other market variables, alongside optimization models for energy assets.
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