Qualifications

• Master or PhD in operations research, electrical engineering, applied mathematics, or related quantitative field
• 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)
• Knowledge of power plant dispatch and grid operations, including capacity and ancillary service obligations
• Familiarity with LMP pricing in US power markets
• Experience with SQL and timeseries databases
• Proficiency in Python and version control with Git

Responsibilities

• Formulate and build a power dispatch model using Python and a commercial solver
• Collaborate with Portfolio Manager to optimize model inputs and architecture
• Ensure the model accurately replicates historical grid operations
• Suggest model improvements to reduce forecast errors and enhance scenario handling
• Regularly maintain and update outputs in an internal database
• Communicate model results and limitations to the investment team, sharing insights via dashboards

Benefits

• Collaborative work environment that promotes continuous learning and innovation
• Opportunity to work on impactful projects affecting the US power markets
• Access to advanced modeling and optimization tools
• Support for professional development and further education
• Comprehensive benefits package including health, wellness, and retirement plans