Senior Risk & Structuring Analytics Lead

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

Benefits offered by this job

Comprehensive benefits

401(k) with employer match

Tuition reimbursement

Job summary

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to develop quantitative models for BESS valuation, structured pricing, and market analysis, while quantifying risk exposures across trading, origination, development, and asset management. You will build CWENQuant, enhance data pipelines, and deliver independent risk analytics.

The role requires hands-on ML/DL modeling, optimization, and powerful Python coding within a fast-paced, team-driven environment across multiple

Qualifications

• Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or related field.
• 3+ years of quantitative or modeling experience in energy.
• Strong Python coding experience.

Responsibilities

• Develop and deploy complex optimization models for BESS dispatch, renewables, gas generation, and data center projects across the US.
• Develop ML/DL models to forecast prices and inform trading.
• Maintain gas dispatch, HRCO, toll, and other structured pricing models; perform MtM and risk analytics.
• Refine in-house models for capacity expansion considering policy, LCOEs, retirements, and transmission.
• Build CWENQuant and data pipelines; create automated workflows and dashboards.

Skills

Quantitative modeling

Python

Optimization

ML/DL modeling

Power market economics

Education

Bachelor's degree (Engineering/Finance/Math/Economics)

Tools

PuLP

Gurobi

CPLEX

scikit-learn

Keras / TensorFlow

Job description

Clearway Energy seeks a Senior Associate of Risk and Structuring Analytics to develop quantitative models for BESS valuation, structured pricing, and market analysis, while quantifying risk exposures across trading, origination, development, and asset management. You will build CWENQuant, enhance data pipelines, and deliver independent risk analytics.

The role requires hands-on ML/DL modeling, optimization, and powerful Python coding within a fast-paced, team-driven environment across multiple