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Palmetto is a consumer energy platform helping homeowners discover, purchase, finance, install, monitor, and manage home energy products and services including solar, battery storage, HVAC, and heat pumps across 30+ states.
You will join Palmetto Capital's corporate strategy and structured finance team as an Associate, Strategy, New Opportunities & Analytics, reporting to the Manager, Strategy New Opportunities & Analytics. This role sits at the intersection of data science, financial modeling, and capital markets strategy.
Your primary responsibilities:
**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. Analyze market, competitor, and macroeconomic trends using code-driven analysis. Contribute to board-level and executive materials connecting data-driven analysis to growth strategy. Assess the company's future capital position and financing needs, incorporating legislative and regulatory data. Automate recurring financial and operational reporting for key stakeholders. Drive pricing analysis across financing structures and capital products using quantitative methods.
**New Opportunities (~20%):** Support sourcing and evaluation of new capital opportunities and financing products through data-driven structuring and financial analysis. Build exploratory Python models to size and stress-test capital structures and financing products. Run scenario and sensitivity analyses using code-based tools to pressure-test new structures. Support meetings with prospective investors by preparing data and analysis.
**Modeling & Execution (~10%):** Support execution of select debt, tax equity, or structured finance transactions. Maintain and query deal-tracking data across live and prospective financings. Support due diligence and term sheet review with data pulls and analysis.
**Collaboration & Continuous Improvement:** Partner closely with FP&A, Treasury, and Accounting. Identify and implement improvements to data infrastructure, tooling, and modeling processes. Anticipate data and analytical needs of internal stakeholders and capital partners.
**Requirements:**
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related quantitative field; coursework or hands-on exposure to finance, economics, or accounting required
- 2-4+ years of experience in data analytics, data science, quantitative research, or software engineering role with meaningful exposure to finance, fintech, or capital markets
- Strong proficiency in Python (pandas, numpy, or similar) and SQL; experience translating Excel-based financial models into code strongly preferred
- Experience building models, dashboards, or automated reporting and analysis tools from large, complex datasets
- Working knowledge of financial modeling concepts (debt, equity, tax equity, ABS, or similar structures) a plus
- Strong analytical and quantitative skills with close attention to detail
- Ability to manage multiple workstreams simultaneously in a fast-paced environment
- Excellent communication skills with ability to translate technical analysis for non-technical, senior audiences
- Highly motivated, collaborative, and comfortable operating with some ambiguity
