Senior Associate, BESS Modeling & Structuring

TL;DR

Senior Associate, BESS Modeling & Structuring (Python/ML): Developing and deploying quantitative optimization and forecasting models that drive BESS valuation, structured products pricing, gas generation optimization, and power market analysis with an accent on stochastic/ML forecasting, structured pricing model development, and production-grade quantitative modeling. Focus on building and enhancing CWENQuant (CWENQ), benchmarking against real operations, and using model outputs to support trading, origination, underwriting, credit analytics, and risk management decisions.

Company

hirify.global develops and operates clean energy and dispatchable power generation assets, including wind, solar, and battery energy storage.

What you will do

• Develop and deploy to production complex optimization and quantitative analysis models for BESS dispatch optimization, renewables, gas generation, and data center infrastructure projects across the US.
• Build stochastic and machine learning/deep learning models to forecast day-ahead, ancillary, and RT prices using fundamental variables (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 and support due diligence, underwriting, and credit analytics.
• Benchmark models against actual operations and market outcomes to improve forecast accuracy and optimization performance.
• Build and enhance the CWEN quantitative modeling platform (CWENQ), including data pipelines, automated workflows, and market data dashboards.
• Analyze trading forwards vs. actual/historical power prices and fundamental forecasts to support trading strategies, risk practices, origination deals, and contract pricing.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Senior Associate: 3+ years of quantitative or modeling experience ideally in the energy sector (trading firms, banks, utilities, IPPs, ISOs, or BESS companies).
• Programming skills required: Python is a must; experience with R and SQL.
• Experience developing ML/DL models using scikit-learn, Keras, or TensorFlow.
• Experience with linear/Mixed Integer programming and tools such as PuLP, Gurobi, or CPLEX.
• Strong understanding of power market economics and wholesale market structure in ISO markets (e.g., CAISO, ERCOT).

Nice to have

• Master’s or PhD.

Culture & Benefits

• Hybrid work with collaboration from offices on Tuesdays and Thursdays.
• Comprehensive benefits for eligible employees working 20+ hours/week, including generous PTO and medical/dental/vision coverage.
• HSAs with company contributions, health FSAs, dependent daycare FSAs, commuter benefits, and a 401(k) plan with employer match.
• Annual cash bonus eligibility based on personal and company performance goals.
• Tuition reimbursement, parental leave, and additional insurance and support programs (e.g., adoption assistance, fertility programs).

Hiring process

• Submit a resume; interviews and evaluations are used to assess modeling/quantitative skills and fit for production-grade quantitative work.