Senior Energy Risk & Structuring Analytics Lead

Clearway Energy; San Diego (CA); Hybrid; USD 140,000 - 178,000; Full time

Job summary

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to develop quantitative models for BESS valuation, structured pricing, gas dispatch optimization, and market analysis. You will build CWENQuant, implement MtM/VaR/PaR analytics, and support trading decisions across multiple business lines.

The role requires a strong quantitative background, 3+ years in energy modeling, and Python expertise, with a focus on risk and pricing in competitive markets.

Qualifications

• Bachelor's degree in Engineering, Finance, Mathematics, Statistics, Economics, or related field.
• 3+ years of quantitative or modeling experience within the energy sector.
• Experience with ML/DL models using scikit-learn, Keras, or TensorFlow.
• Proficiency in linear/MIP optimization and tools like PuLP, Gurobi, CPLEX.
• Strong Python coding skills and knowledge of BESS, renewables, and ISO markets.

Responsibilities

• Develop and deploy complex optimization models for BESS, renewables, and gas generation.
• Build stochastic/ML/DL forecasting models for price, load, and generation.
• Maintain gas dispatch and pricing models; perform MtM, VaR, and PaR analytics.
• Create CWENQuant data pipelines and automated market data dashboards.
• Quantify hedge effectiveness and conduct scenario/stress analyses.
• Collaborate across trading, origination, development, and asset management.

Skills

Python

Machine Learning

Optimization

Quantitative modeling

Education

Bachelor's degree in a quantitative field

Tools

PuLP

Gurobi

CPLEX

scikit-learn

Job description

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to develop quantitative models for BESS valuation, structured pricing, gas dispatch optimization, and market analysis. You will build CWENQuant, implement MtM/VaR/PaR analytics, and support trading decisions across multiple business lines.

The role requires a strong quantitative background, 3+ years in energy modeling, and Python expertise, with a focus on risk and pricing in competitive markets.