Senior Associate, BESS Modeling & Structuring

Clearway Energy; Houston (TX); On-site; USD 115,000 - 177,000; Full time

Job summary

Clearway Energy in Houston, Texas, is looking for a Senior Associate for BESS Modeling and Structuring to develop quantitative models that impact major commercial decisions. The role involves creating optimization models for various energy projects and requires strong programming skills, particularly in Python.

Ideal candidates will possess a Bachelor’s degree and significant modeling experience in the energy sector. A competitive salary and a collaborative work environment await successful applicants.

Qualifications

• 3+ years of quantitative or modeling experience ideally within the energy sector for Senior Associate.
• < 3 years of quantitative or modeling experience ideally within the energy sector for Associate.
• Strong quantitative background with hands-on coding experience in Python.

Responsibilities

• Develop and deploy complex optimization models for BESS dispatch.
• Analyze trading forwards compared to actual power prices.
• Provide analytical insights to support Clearway's budgeting process.

Skills

Python

Machine Learning

Deep Learning

Quantitative Analysis

Optimization Models

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

scikit-learn

TensorFlow

PuLP

Gurobi

CPlex

Job description

Senior Associate, BESS Modeling & Structuring

Houston, Texas, United States

What The Role Is

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 build Clearway’s internal quantitative modeling platform (CWENQuant), develop advanced BESS dispatch optimization models, and directly impact major commercial decisions across trading/origination/development/asset management.

What You'll Be Doing

• Develop and deploy to production complex optimization models and quantitative analysis for BESS dispatch optimization, renewables, gas generation, and data center infrastructure projects across the US.
• Develop stochastic or machine learning/deep learning models to forecast DA, ancillary, and RT prices based on fundamental variables such as load, gas prices, wind + solar generation to inform trading.
• Develop and maintain gas dispatch, HRCO, toll, and other structured pricing models, perform mark‑to‑market analysis, 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 to produce analysis, build market data dashboards with data science and optimization.
• Analyze trading forwards in comparison with actual/historical power prices and fundamental forecasts to inform a view on trading strategies, risk practices, origination deals, 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 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: <3 years of quantitative or modeling experience ideally within the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
• Programming skills required: Python is a must, R, SQL, etc.
• Working experience developing ML/DL models using scikit‑learn, Keras, or TensorFlow.
• Experience with linear/mixed integer programming and associated tools like PuLP, Gurobi, CPlex, etc.
• Working experience with stochastic models and the ability to develop models from scratch.
• Strong quantitative background with hands‑on experience in coding in Python.
• Knowledge of BESS (strongly preferred), renewable, conventional (gas) asset, HRCO, toll modeling.
• Strong understanding of power market economics, wholesale market structure, asset operations in ISO (CAISO, ERCOT, etc.) markets.
• Proven ability to build high‑quality, robust, scalable quantitative, optimization models and stochastic or ML/DL forecasting frameworks such as price, load, or renewable generation forecasting.
• Ability to formulate and articulate viewpoints (written and verbal) in a clear, persuasive, and succinct manner.
• Ability to handle multiple concurrent efforts and provide high‑quality deliverables accurately and on time.
• Ability to collaborate effectively across teams, communicate clearly, and contribute to a high‑performing, respectful work environment that emphasizes attention to detail, meeting deadlines and working together to achieve company‑wide objectives.
• Strong interpersonal, analytical, and problem‑solving skills.
• Demonstrated ability to produce accurate, high‑quality work in a fast‑paced, deadline‑driven environment.
• Strong ownership mindset with a commitment to delivering results and continuous improvement.
• Demonstrated curiosity and willingness to continuously learn and adapt in a rapidly evolving energy and market environment.

What Would Be Nice

• Masters or PhD.

Compensation

• Associate: $115,000 – $150,000 USD
• Sr. Associate: $137,000 – $177,000 USD

Clearway will not sponsor non‑immigrant visas for this position (H‑1B, TN, E‑3, etc.).

Clearway Energy is an equal‑opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We encourage minorities, women, individuals with disabilities and protected veterans to join our team.