In today’s operating environment, managing SME credit risk has become a daily topic of discussion among CEOs, CROs, and CFOs across financial institutions. But what we are confronting is not simply a period of heightened volatility, it is a more fundamental shift in how risk emerges, propagates, and compounds across SME portfolios.

We are seeing multiple stress drivers—macroeconomic shocks, market dislocations, climate events, and geopolitical pressures—interacting in non‑linear, self‑reinforcing ways. These dynamics expose the structural limits of traditional, backward‑looking credit models that rely on historical patterns and static assumptions, leaving institutions less prepared for rapid inflection points and cascading risks.

This webinar explores how lenders can respond to this new reality by moving beyond incremental model improvements toward a fundamentally different approach to risk decisioning. The session will examine how forward‑implied signals, dynamic scenario analysis, and continuously adaptive, real‑time decisioning can help institutions anticipate risk earlier, manage portfolios more proactively, and build resilience in an increasingly volatile world—while continuing to support SME growth and access to finance.

SPEAKERS

• Sanjay Uppal, Founder & CEO, FinbotsAI
• Patrick Reily, Co-founder, Uplinq
• Raymond Anderson, Board Member, Model Risk Managers' International Association