Senior BESS Quantitative Modeling Lead

talisman

United States

On-site

USD 120,000 - 160,000

Full time

6 days ago
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Job summary

Talisman is seeking a Senior Associate focused on Battery Energy Storage Systems (BESS) Modeling to advance quantitative analytics in energy markets. You’ll build models for dispatch optimization, market forecasting, and pricing to support trading, origination, and asset management decisions.

Ideal candidates have 3+ years of modeling experience, expertise with optimization tools (Gurobi, CPLEX, PuLP), ML/DL (scikit-learn, TensorFlow, Keras), and knowledge of stochastic forecasting and wholesale

Qualifications

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

Responsibilities

  • Build and enhance advanced quantitative models for BESS sizing, dispatch, and pricing.
  • Support battery storage dispatch optimization and power market forecasting.
  • Contribute to structured products pricing and renewable analytics.
  • Inform trading, origination, and asset management decisions.

Skills

Quantitative modeling
Optimization tools
ML/DL
Stochastic modeling
Wholesale power markets
BESS/renewables experience

Education

Master’s or PhD in a quantitative field

Tools

Gurobi
CPLEX
PuLP
scikit-learn
TensorFlow
Keras

Job description

Talisman is seeking a Senior Associate focused on Battery Energy Storage Systems (BESS) Modeling to advance quantitative analytics in energy markets. You’ll build models for dispatch optimization, market forecasting, and pricing to support trading, origination, and asset management decisions.

Ideal candidates have 3+ years of modeling experience, expertise with optimization tools (Gurobi, CPLEX, PuLP), ML/DL (scikit-learn, TensorFlow, Keras), and knowledge of stochastic forecasting and wholesale

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