Quantitive Associate

Company Description

Palmetto is a consumer energy platform that provides homeowners with a single destination to discover, purchase, finance, install, monitor and manage home energy products and services. By offering one integrated platform across solar, battery storage, HVAC, heat pumps and more, Palmetto helps homeowners make home energy more affordable, reliable and accessible. Today Palmetto serves hundreds of thousands of homeowners, across 30+ states, building the operating infrastructure for the consumer energy transition, one home at a time.

Our employees are our most valuable resource. We foster a promote-from-within culture that prioritizes talent development, career growth, and purpose-driven work. Palmetto offers a comprehensive benefits package—including unlimited PTO, medical, dental, and vision coverage, paid parental leave, retirement plans, and more—so you can have it all both personally and professionally. Palmetto prioritizes people, planet, and profit—backed by a culture that values collaboration, impact, and balance. Join us in building a brighter, cleaner world.

Location

This position will be based in New York City.

Reporting

This position will report to the Manager, Strategy New Opportunities & Analytics

Summary of Role 

The Quantitive Associate, Capital Markets sits at the center of Palmetto Capital's corporate strategy and structured finance team, turning Palmetto's data backlog into the insights that shape capital decisions. The primary focus is strategic and analytical: mining internal and external data to inform financing and capital structure decisions, and translating existing Excel-based models into Python to make analysis faster, more scalable, and more repeatable. This person also supports sourcing of new capital opportunities and contributes to select modeling and transaction execution work, with a sharp eye for detail and a comfort moving between code, data, and financial analysis.

Strategic & Tactical

Data Strategy & Analytics (~70%)

• Mine Palmetto's data backlog — portfolio, financing, operational, and market data — to surface insights that inform capital structure and financing decisions
• Build Python-based analytical tools, models, and dashboards that translate large, complex datasets into clear, decision-ready outputs for senior leadership
• Translate existing Excel-based structured finance models into Python to improve speed, scalability, and repeatability of analysis
• Analyze market, competitor, and macroeconomic trends, using code-driven analysis to inform financing and capital structure decisions
• Contribute to board-level and executive materials that connect data-driven analysis to Palmetto's broader growth strategy