Senior Quantitative Analyst, Energy Risk & Structuring

Clearway Energy Group

San Francisco (CA)

Presencial

USD 140.000 - 178.000

Jornada completa

hace 3 horas
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Descripción de la vacante

Clearway Energy Group seeks a Senior Associate of Risk and Structuring Analytics to develop complex quantitative models for BESS valuation, structured products pricing, and power market analysis. You’ll build CWENQuant, deploy optimization and forecasting models, and run independent risk analytics including MtM, VaR, and PaR across multiple portfolios.

Ideal candidates have strong Python skills, ML/DL experience, and a deep understanding of ISO markets and HRCO/toll dynamics.

Formación

  • Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or related field.
  • 3+ years of quantitative or modeling experience in energy trading, utilities, or BESS.
  • Experience with ML/DL models using scikit-learn, Keras, or TensorFlow.
  • Proficiency in Python for modeling and data analysis.
  • Knowledge of BESS, renewables, gas assets, HRCO, toll modeling.
  • Strong understanding of power market economics and ISO markets.

Responsabilidades

  • Develop production optimization models for BESS dispatch, renewables, gas generation, and data center projects.
  • Build stochastic/ML forecasting models for price, load, and renewables using fundamental drivers.
  • Maintain gas dispatch, HRCO, toll pricing models; conduct MtM, VaR, PaR analyses.
  • Develop CWENQuant and data pipelines; create automated workflows and dashboards.
  • Quantify hedge effectiveness and risk across structured transactions; support due diligence and credit analytics.

Conocimientos

Python
ML/DL modeling
Optimization
Quantitative analysis
Power market knowledge
Data pipelines
risk analytics
Stochastic forecasting

Educación

Bachelor’s degree in Engineering/Finance/Math/Statistics/Economics

Herramientas

PuLP
Gurobi/CPLEX

Descripción del empleo

Clearway Energy Group seeks a Senior Associate of Risk and Structuring Analytics to develop complex quantitative models for BESS valuation, structured products pricing, and power market analysis. You’ll build CWENQuant, deploy optimization and forecasting models, and run independent risk analytics including MtM, VaR, and PaR across multiple portfolios.

Ideal candidates have strong Python skills, ML/DL experience, and a deep understanding of ISO markets and HRCO/toll dynamics.

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