Senior Quantitative Risk & Structuring Analyst

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

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.