Senior Associate, Risk and Structuring Analytics

Clearway EnergyScottsdale, Arizona, 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

5 Oct 2026

Status

Open · checked 7d ago

About this role

Clearway Energy is hiring a Senior Associate, Risk and Structuring Analytics in Scottsdale, Arizona to develop quantitative models and risk frameworks for energy markets. This full-time hybrid position suits a quantitative professional with energy sector experience looking to drive commercial and trading decisions.

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. The professional will also quantify and monitor the risk exposures created by these positions. The role involves building internal quantitative platforms, developing price forecasting models, and providing 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 optimization, renewables, gas generation, and data center infrastructure projects.

Create Stochastic or Machine Learning and Deep Learning models to forecast day-ahead, ancillary, and real-time prices based on fundamental variables.

Build and maintain gas dispatch, heat rate call option, toll, and structured pricing models while performing mark-to-market analysis and supporting due diligence.

Refine vendor models or develop in-house capacity expansion models considering market policy, levelized cost of energy, retirements, transmission, and reliability.

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

Enhance the internal quantitative modeling platform, develop data pipelines, and create automated workflows and market data dashboards.

Design and maintain mark-to-market, Value-at-Risk, and Profit-at-Risk frameworks independently from deal and 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, power purchase agreements, and tolling arrangements.

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, independent power producers, ISOs, or BESS companies.

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

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

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

Understanding of power market economics, wholesale market structure, and asset operations in ISO markets.

Nice to Have

Programming skills in R and SQL.

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

Exposure to energy trading and risk management systems, mark-to-market, and Value-at-Risk model validation or governance practices.

Master’s degree or PhD.

Skills and Tools

Python

scikit-learn

Keras

TensorFlow

PuLP

Gurobi

CPLEX

SQL

Salary and Benefits

Salary range of $140,000 to $178,000 USD, depending on geographic location, skills, experience, education, and certifications.

Eligibility to earn an annual cash bonus based on personal and company performance goals.

Comprehensive benefits including generous paid time off, medical, dental, and vision care.

Health savings accounts with company contributions, health and dependent daycare flexible spending accounts, and commuter benefits.

Relocation assistance and a 401(k) plan with employer match.

Life and accident insurances, fertility programs, adoption assistance, and generous parental leave.

Tuition reimbursement and inclusive benefits for domestic partnerships, civil unions, and same-sex marriages.

About the Company

Clearway Energy Group leads the transition to a world powered by clean energy. The portfolio comprises approximately gross generating capacity across multiple states, featuring wind, solar, and battery energy storage assets alongside conventional dispatchable power generation. The company operates a nationwide pipeline of new energy projects and is headquartered in San Francisco with additional offices in Denver, Houston, Phoenix, Princeton, and San Diego.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

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

Questions candidates ask

What is the salary range for this role?

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

Where is the job located?

The position is located in Scottsdale, Arizona, operating on a hybrid schedule where office-based employees work together on Tuesdays, Wednesdays, and Thursdays.

What level of experience is required?

Candidates must have at least 3 years of quantitative or modeling experience within the energy sector.

Is visa sponsorship available?

No visa sponsorship or employment authorization sponsorship is available for this role.

What education is required for the position?

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