Senior Manager, Market Analytics

Jupiter Power - Austin, TX

Full-time - Senior

Austin, TX

About the position

The Senior Manager, Market Analytics at Jupiter Power is responsible for developing and executing quantitative models that inform the company's structured product strategy, particularly in the energy storage sector. This role involves collaboration with various teams to enhance modeling techniques and ensure consistency in financial models, while also contributing to strategic recommendations for management and investors.

Responsibilities

• Develop and execute quantitative models to support the development of structured products designed around energy storage operating parameters.
• Implement stochastic modeling methods to evaluate the use and benefit of energy storage combined with other forms of generation or loads.
• Collaborate with the Market Operations team to develop modeling techniques for portfolio-level products.
• Represent Market Analytics in cross-team coordination regarding risk policy and operational considerations.
• Collaborate with the Applications Analytics team to standardize commercial structures and modeling approaches.
• Evaluate and propose third-party data sources and software solutions for structured product assessments.
• Maintain consistency of price and model configuration assumptions in financial models and reporting.
• Implement best-practice data management and modeling methodologies for energy storage evaluation.
• Contribute to Market Analytics team recommendations for management, investors, and the Board of Directors.

Requirements

• Post-graduate degree in Engineering, Mathematics, Computer Science or other quantitative discipline.
• 4+ years of quantitative experience in the power industry, with 2+ years in a structuring or intermittent renewable energy modeling role.
• Significant experience modeling production and revenue outcomes for electricity generation portfolios.
• High level of comfort developing and implementing mathematical algorithms and stochastic techniques.
• Strong competency in Excel, with experience or willingness to learn Python, R, SQL, VBA.

Nice-to-haves

• Understanding of market design concepts and commercial transactions in ERCOT.
• Understanding of energy storage technology, economics, and operations.
• Practical modeling experience with option pricing theory and financial risk management.

Benefits

• Compensation and benefits commensurate with experience and qualifications.