1 час назад
Senior Associate, Risk and Structuring Analytics (BESS)
140 000 - 178 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Associate, Risk and Structuring Analytics (BESS): Building quantitative models for BESS valuation, structured products pricing, gas generation optimization, power-market forecasting, and independent portfolio risk analytics with an accent on optimization, machine learning, and energy-market modeling. Focus on developing CWENQuant, forecasting day-ahead and real-time prices, quantifying hedge and basis risk, and designing stress-testing and value-at-risk frameworks.
Location: Houston, Texas, United States; hybrid role with office-based collaboration on Tuesday, Wednesday, and Thursday. The role supports projects across the United States.
Salary: $140,000–$178,000 USD annually, plus eligibility for an annual cash bonus.
Company
develops and operates clean energy, battery storage, renewable, and conventional power generation assets across the United States.
What you will do
- Develop and deploy optimization and quantitative models for BESS dispatch, renewable generation, gas generation, and data center infrastructure projects.
- Build stochastic, machine learning, and deep learning models to forecast day-ahead, ancillary, and real-time power prices using market and fundamental data.
- Develop and maintain gas dispatch, HRCO, tolling, structured pricing, mark-to-market, credit, and underwriting models.
- Build and enhance the CWENQuant quantitative modeling platform, data pipelines, automated workflows, and market-data dashboards.
- Design independent MtM, Value-at-Risk, Profit-at-Risk, scenario, sensitivity, and stress-testing frameworks for BESS, gas, and structured product positions.
- Quantify hedge effectiveness and basis risk for structured transactions, PPAs, and tolling or HRCO arrangements, and recommend hedge adjustments.
Requirements
- Bachelor’s degree in engineering, finance, mathematics, statistics, economics, or a related field.
- 3+ years of quantitative or modeling experience in the energy sector, including trading firms, banks, utilities, IPPs, ISOs, or BESS companies.
- Strong hands-on Python experience and working knowledge of machine learning or deep learning with scikit-learn, Keras, or TensorFlow.
- Experience with linear and mixed-integer programming tools such as PuLP, Gurobi, or CPLEX.
- Knowledge of BESS, renewable and gas assets, HRCO, toll modeling, power-market economics, wholesale market structure, and ISO markets such as CAISO and ERCOT.
- No visa sponsorship or employment-authorization sponsorship is available now or in the future.
Nice to have
- R, SQL, stochastic modeling, mean reversion, or jump-diffusion experience.
- Exposure to ETRM systems, MtM, and VaR model validation or governance.
- Master’s degree or PhD.
Culture & Benefits
- Office-based employees collaborate in person three days per week, with company-provided meals and events.
- Benefits include PTO, medical, dental, vision, HSA and FSA programs, commuter benefits, and a 401(k) with employer match.
- Additional benefits include life and accident insurance, fertility and adoption assistance, parental leave, tuition reimbursement, and relocation support.
- Inclusive workplace focused on collaboration, community, diversity, equity, and inclusion.
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