Senior Associate, BESS Modeling & Structuring

Clearway Energy; Denver (CO); On-site; USD 137,000 - 177,000; Full time

Benefits offered by this job

Annual cash bonus based on performance

Diversity and inclusivity initiatives

Job summary

Clearway Energy is seeking a Senior Associate for BESS Modeling & Structuring based in Denver, Colorado. The role involves developing quantitative models for BESS valuation and optimizing gas generation and power market analysis. Candidates should possess strong proficiency in Python and experience in advanced modeling techniques.

Clearway values candidates with 3+ years in the energy sector, providing a collaborative environment focused on achieving impactful results. The compensation ranges from $137,000 to $177,000, with potential bonuses based on performance.

Qualifications

• 3+ years of quantitative or modeling experience for Senior Associate.
• Experience in creating stochastic or machine learning models.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop complex optimization models for BESS dispatch.
• Maintain structured pricing models and perform analysis.
• Provide analytical insights to support budget processes.

Skills

Proficiency in Python

Quantitative background

Experience with ML/DL models

Knowledge of BESS

Power market economics

Strong collaborative skills

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

scikit-learn

Keras

TensorFlow

PuLP

Gurobi

Job description

Senior Associate, BESS Modeling & Structuring

Clearway Energy seeks an Associate or Senior Associate of BESS Modeling and Structuring to develop top‑notch quantitative models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis. In this role, you will be building Clearway’s internal quantitative modeling platform (CWENQuant), developing advanced BESS dispatch optimization models, and directly impacting major commercial decisions across trading, origination, development, and asset management.

What You’ll Be Doing

• Develop and deploy complex optimization models and quantitative analysis for BESS dispatch optimization, renewables, gas generation, and data center infrastructure projects across the US.
• Create stochastic or machine learning/deep learning models to forecast day‑ahead, ancillary, and real‑time prices based on fundamental variables such as load, gas prices, wind, and solar generation to inform trading.
• Maintain gas dispatch, HRCO, toll, and other structured pricing models; perform mark‑to‑market analysis and support due diligence, underwriting, and credit analytics.
• Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization.
• Provide analytical insights from modeling results to support Clearway budget process, trading activities, and/or market advocacy.
• Build and enhance CWENQuant, develop data pipelines with internal and external resources, create automated workflows, and build market data dashboards using data science and optimization.
• Analyze trading forwards in comparison with actual/historical power prices and fundamental forecasts to inform trading strategies, risk practices, origination deals, and contract pricing.
• Stay abreast of changing market conditions at both macro and micro levels, and their impact on markets.

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Senior Associate: 3+ years of quantitative or modeling experience, ideally within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
• Associate: Less than 3 years of quantitative or modeling experience, ideally within the energy sector.
• Proficiency in Python (required), with experience in R, SQL, etc.
• Experience developing ML/DL models using scikit‑learn, Keras, or TensorFlow.
• Familiarity with linear/mixed integer programming and tools such as PuLP, Gurobi, COIN‑OR or CPLEX.
• Experience with stochastic models and the ability to develop models from scratch.
• Strong quantitative background and coding expertise in Python.
• Knowledge of BESS, renewable, and conventional (gas) assets, HRCO, and toll modeling (strongly preferred).
• Deep understanding of power market economics, wholesale market structure, and asset operations in ISO (CAISO, ERCOT, etc.) markets.
• Proven ability to build high‑quality, robust, and scalable quantitative, optimization models and stochastic or ML/DL forecasting frameworks.
• Excellent written and verbal communication skills, with the ability to articulate viewpoints clearly and persuasively.
• Capacity to manage multiple concurrent efforts and deliver high‑quality work on time.
• Strong collaborative skills and a respectful work ethic focused on meeting deadlines and achieving company goals.
• Analytical, problem‑solving, and interpersonal skills.
• Demonstrated curiosity and willingness to learn and adapt in a rapidly evolving energy and market environment.
• Strong ownership mindset and commitment to continuous improvement.

What Would Be Nice

• Master’s or Ph.D. in a related field.

Clearway will not sponsor non‑immigrant visas for this position.

Compensation

Associate: $115,000 – $150,000 USD

Senior Associate: $137,000 – $177,000 USD

The pay rate for the successful candidate will depend on geographic location, skills, relevant and demonstrated experience, education, training and certifications, and other factors permitted by law. This role is eligible to earn an annual cash bonus, subject to personal and company performance goals.

Equal Employment Opportunity

Clearway Energy is an equal opportunity employer that values a broad diversity of talent, knowledge, experience & expertise. We encourage minorities, women, individuals with disabilities, and protected veterans to join the team. Clearway is a proud promoter of employment opportunities for our Military & Veterans.

We will make reasonable accommodations for qualified applicants with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e‑mail to [e-mail] and let us know the nature of your request and your contact information.