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.

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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. xuezdbg
• Preferred: Experience in commercial or small business (SMB) lending; exposure to alternative lending products such as merchant cash advances or short-term working capital.