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Im partnering with a leading energy company thats expanding its quantitative analytics team and is looking for a Senior Associate focused on Battery Energy Storage Systems (BESS) Modeling & Structuring .

This is an opportunity to build and enhance advanced quantitative models that support:

  • Battery storage dispatch optimization
  • Power market forecasting (DA, RT, Ancillary Services)
  • Structured products pricing
  • Gas generation optimization
  • Renewable energy analytics
  • Trading, origination, and asset management decisions

What theyre looking for:

  • 3+ years of quantitative modeling experience
  • Strong Python programming skills
  • Experience with optimization tools (Gurobi, CPLEX, PuLP, etc.)
  • Machine learning/deep learning experience (scikit-learn, TensorFlow, Keras)
  • Knowledge of stochastic modeling and forecasting
  • Understanding of wholesale power markets (ERCOT, CAISO, or other ISOs)
  • Experience with BESS, renewables, or conventional generation is highly preferred

Preferred:

  • Masters or PhD in a quantitative field

If you have a background in energy markets, quantitative modeling, optimization, or battery storage and would like to learn more, send me a direct message or comment below.