Senior Associate, Risk and Structuring Analytics

Clearway EnergySan Diego, California, United StatesRisk

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Opens the official Clearway Energy careers page

Salary

$140K — $178K USD

Job type

Full-time

Experience

Senior · 3+ yrs

Posted

6 Oct 2026

Status

Open · checked 7d ago

About this role

Senior Associate, Risk and Structuring Analytics is a full-time hybrid role at Clearway Energy based in San Diego, California, that suits quantitative professionals with energy sector experience looking to build pricing and dispatch optimization models. This position involves developing quantitative models for battery energy storage systems (BESS) valuation, power market analysis, and risk monitoring.

Role Overview

Clearway Energy seeks a Senior Associate, Risk and Structuring Analytics to develop quantitative models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis, while monitoring risk exposures. The role builds and enhances the internal quantitative modeling platform, develops BESS dispatch optimization and price forecasting models, and provides independent risk analytics to inform commercial decisions across trading, origination, development, and asset management.

Key Responsibilities

Develop and deploy optimization models and quantitative analysis for BESS dispatch, renewables, gas generation, and data center infrastructure projects across the US.

Build Stochastic, Machine Learning, or Deep Learning models to forecast DA, Ancillary, and RT prices based on fundamental variables.

Maintain gas dispatch, HRCO, toll, and structured pricing models while performing mark-to-market analysis and supporting due diligence, underwriting, and credit analytics.

Refine vendor models or develop in-house capacity expansion models considering market policy, LCOEs, retirements, transmission, reliability, and demand growth.

Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization.

Build and enhance CWENQuant, develop data pipelines, and create automated workflows and market data dashboards using data science and optimization techniques.

Design and maintain mark-to-market (MtM), Value-at-Risk (VaR), and Profit-at-Risk (PaR) frameworks independently of trading desks.

Run scenario, sensitivity, and stress-testing analyses to quantify tail risk in the portfolio.

Quantify hedge effectiveness and basis risk for structured transactions, PPAs, and tolling arrangements, and recommend hedge adjustments.

Requirements

Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field.

Minimum of 3 years of quantitative or modeling experience within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.

Working experience developing machine learning or deep learning models using scikit-learn, Keras, or TensorFlow.

Experience with linear or Mixed Integer programming and associated tools like PuLP, Gurobi, or CPLEX.

Strong quantitative background with hands-on coding experience in Python.

Knowledge of BESS assets, renewable and conventional assets, HRCO, and toll modeling.

Strong understanding of power market economics, wholesale market structure, and asset operations in ISO markets like CAISO and ERCOT.

Ability to formulate and articulate viewpoints clearly and handle multiple concurrent efforts accurately.

Nice to Have

Programming skills in R and SQL in addition to Python.

Working experience with stochastic models, mean reversion, and jump diffusion.

Exposure to ETRM systems, MtM, and VaR model validation and governance practices.

Master’s degree or PhD.

Skills and Tools

Python

SQL

scikit-learn

Keras

TensorFlow

PuLP

Gurobi

CPLEX

CWENQuant

ETRM systems

Salary and Benefits

The salary range for this position is $140,000 to $178,000 USD, with the final pay rate dependent on geographic location, skills, experience, education, and other legal factors. The role is eligible to earn an annual cash bonus subject to personal and company performance goals. Eligible employees receive comprehensive benefits including generous paid time off, medical, dental, and vision care, health savings accounts with company contributions, flexible spending accounts, commuter benefits, relocation assistance, a 401(k) plan with employer match, life and accident insurances, fertility programs, adoption assistance, parental leave, and tuition reimbursement.

About the Company

Clearway Energy Group leads the transition to a world powered by clean energy, managing a portfolio of approximately gross generating capacity across multiple states that includes wind, solar, and battery energy storage assets, as well as conventional dispatchable power generation. The company is headquartered in San Francisco with offices in Denver, Houston, Phoenix, Princeton, and San Diego.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Python R SQL scikit-learn Keras TensorFlow PuLP Gurobi CPLEX Deep Learning Machine Learning Diffusion

Questions candidates ask

What is the salary range for the Senior Associate, Risk and Structuring Analytics role?

The salary range is between $140,000 and $178,000 USD, and the role is also eligible to earn an annual cash bonus.

Where is this job located?

This position is located in San Diego, California, United States, and follows a hybrid office schedule.

What level of experience is required?

The role requires 3 or more years of quantitative or modeling experience within the energy sector.

Is visa sponsorship available for this position?

No visa sponsorship or any kind of sponsorship for employment authorization is available for this role, now or in the future.

What educational background is required?

A Bachelor’s degree in Engineering, Finance, Mathematics, Statistics, Economics, or a related field is required, while a Master’s degree or PhD is preferred.

Ready to apply?

The application is on the official Clearway Energy careers page.

Apply on company site