Senior FP&A Analyst

About the role

The FP&A Senior Financial Analyst plays a key role on Seacoast Bank’s Financial Planning & Analysis team, contributing to a wide range of corporate and departmental initiatives. This position drives budget development, line of business performance management, merger and acquisition activities, and systems implementations and conversions. The ideal candidate demonstrates strong business acumen, advanced financial modeling skills, and effective communication abilities to drive strategic insights and decision-making.

Responsibilities

• Support Director and Senior Manager of Financial Planning and Analysis.
• Create in-depth Line of Business budgeting and monthly forecasting reports, establishing timelines for completion and presenting results regularly to executive management.
• Key driver in annual three-year strategic planning process.
• Develop complex financial models to direct future business ventures, new products, strategies, and marketing campaigns.
• Review reports on historical and future trends in performance and returns to determine appropriate paths for financial development.
• Prepare accurate board and management reporting, company metrics, and competitive benchmarking.
• Develop profitability metrics and KPIs to provide a benchmark for future line of business growth.
• Meet and present financial results to senior leaders on a monthly, quarterly, and annual basis.
• Create and modify visualizations in Power BI, interpret DAX code, and test for accuracy.
• Adhere to Seacoast Bank’s Code of Conduct.

Requirements

• 5+ years of related experience with financial institutions in Finance/Accounting required.
• MBA or Master’s Degree in Finance or Accounting strongly preferred.
• Strong understanding of bank FTP, capital, and cost allocation methodologies.
• Advanced financial modeling experience required.
• Advanced Excel and PowerPoint skills required.
• Intermediate Power BI development skills required.
• Experience with Axiom Financial Reporting preferred.
• Ability to extract and analyze data from various sources required.
• SQL and Microsoft Excel Power Query preferred.