Senior Risk & Quant Analytics for Energy Markets

Clearway Energy; Denver (CO); Hybrid; USD 140,000 - 178,000; Full time

Job summary

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to build advanced quantitative models for BESS valuation, structured pricing, and market analysis. You’ll develop CWENQuant, deploy optimization and ML models, and provide independent risk analytics across MtM, VaR, and scenario testing.

You will collaborate with trading, origination, development, and asset management teams to quantify risk, forecast prices, and support commercial decisions in a fast-paced environment.

Qualifications

• Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or related field.
• 3+ years of quantitative modeling experience in the energy sector.
• Experience with ML/DL models using scikit-learn, Keras, or TensorFlow.
• Proficiency in Python and optimization tools (PuLP, Gurobi, CPLEX).

Responsibilities

• Develop production-grade optimization models for BESS dispatch and energy assets.
• Build ML/DL forecasting models for price and load.
• Develop and maintain pricing models and perform MTM and VaR analysis.
• Create data pipelines and dashboards for market data.
• Benchmark models against real operations to improve accuracy.
• Communicate risk insights clearly to cross-functional teams.

Skills

Python programming

ML/DL modeling

Optimization modeling

Power market knowledge

Data analysis

Education

Bachelor's degree in Engineering/Finance/Math/Stats/Economics

Master's or PhD (preferred)

Tools

PuLP

Gurobi

CPLEX

scikit-learn

TensorFlow

Job description

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to build advanced quantitative models for BESS valuation, structured pricing, and market analysis. You’ll develop CWENQuant, deploy optimization and ML models, and provide independent risk analytics across MtM, VaR, and scenario testing.

You will collaborate with trading, origination, development, and asset management teams to quantify risk, forecast prices, and support commercial decisions in a fast-paced environment.