VP, Analytics – SMB FinTech Lender

Our client is a well-established, data science–driven FinTech lender serving small and medium-sized businesses across the U.S. The company provides working capital and other financing products and has funded billions of dollars to tens of thousands of small businesses.

The Opportunity

Our client is hiring a VP, Analytics to own the analytics agenda across the lending lifecycle. You will lead a global team of analysts and work with the business to grow conversion while keeping credit losses in check. You will be the go-to source for an accurate, clear view of portfolio health and for the loss and revenue forecasts the business plans around. This is a hands‑on leadership role for someone who knows SMB or commercial credit and is excited about using AI to change how analytics gets done.

Location: Michigan (strongly preferred); New York, NY considered

Reports to: Chief Data & Analytics Officer Team: 7–10 analysts, onshore and offshore

What You’ll Do

• Own the analytics agenda. Set priorities and drive analytics that improve conversion and reduce credit losses across underwriting, portfolio management and collections.
• Deliver a clear view of portfolio health. Build and maintain portfolio monitoring, early-warning indicators and performance reporting for senior leadership.
• Forecast losses and revenue. Own accurate, well-documented loss and revenue forecasts that support planning, pricing and capital decisions.
• Partner across the business. Work with Product, Finance, Sales and Underwriting to pursue strategic objectives through analytics, testing and hypothesis-driven experimentation.
• Turn insight into action. Partner with Technology to implement credit, pricing and decisioning strategies in production, and measure their impact.
• Lead and develop the team. Manage a global team of 7–10 analysts. Set direction and build a culture of continuous learning, feedback and development.
• Bring an AI-forward approach. Use AI tools and LLMs (e.g., Claude, Claude Code) to speed up analysis, automate workflows and raise the team’s productivity.

What You’ll Bring

• Master’s degree in Mathematics, Statistics, Physics, Engineering or a related quantitative field.
• 15+ years in Financial Services or FinTech, with deep risk management analytics experience across underwriting, portfolio monitoring, collections and forecasting.
• 8+ years leading teams of analysts, with proven success managing both onshore and offshore teams and developing people.
• Strong hands‑on skills in Python, SQL and Excel.
• Experience with AI tools/LLMs and an AI-forward mindset.
• Ability to communicate complex analysis clearly to executives and cross-functional partners.
• Preferred: Experience in commercial or small business (SMB) lending; exposure to alternative lending products such as merchant cash advances or short-term working capital.