Job Description

This role will develop models and analyze data to support the valuation of utility-scale solar and batteries in wholesale power markets. This position will perform market simulations for solar and storage assets, assist in development of power market forecasts, and provide transmission congestion analysis and basis outlook across regional power markets. This position assists in the development of core algorithms and models to support the origination and asset optimization decisions. Expected to participate in the full cycle of Savion’s projects, helping to identify specific locations of high value to the development team, provide guidance for financial analysis, test battery storage dispatch strategies in wholesale markets, and analyze energy market trends and outlooks. This position will also focus on developing long-term, fundamentals-based forecasts for energy, capacity, and ancillary service products.

Responsibilities

  • Perform market simulations and develop power market forecasts in support of development, M&A, and management of existing assets
  • Work with third-party consultants to oversee transmission congestion analysis and basis outlook in regional power markets
  • Guide sensitivity analysis with varying fundamental parameters including load, fuel prices, outages etc.
  • Work with other members of the team to develop and automate asset optimization models
  • Develop new quantitative models to solve business problems related to the economics of battery storage
  • Review and incorporate relevant market policies, rules, and other qualitative factors into asset optimization models
  • General data analysis of wholesale electricity markets, asset dispatch, and other relevant factors
  • Work with other members of the team to develop and automate models forecasting energy and ancillary service prices
  • Review and analyze the performance of price forecast models
  • Review and incorporate relevant market policies, rules, and other qualitative factors into price forecasts
  • General data analysis of wholesale electricity markets, asset dispatch, and other relevant factors

Preferred Qualifications

  • Bachelor’s or Master’s Degree in one of the following: engineering, economics, mathematics, statistics, or similar field
  • Experience with mathematical optimization techniques and mathematical programming
  • Knowledge and understanding of production cost modeling and linear programming
  • Familiarity with Aurora, PROMOD, or other production cost modeling software
  • Knowledge of econometric/regression techniques
  • Programming experience in R or Python and SQL
  • Very motivated self-starter with strong organizational and time-management skills
  • Ability to work in a small team

Contact Information

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