Breakout 4: Verisk: Beyond the Score: Integrating Property Intelligence into Credit Risk Models
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Traditional credit risk models have been refined over decades to assess borrower behaviour, capacity, and repayment likelihood. However, they often overlook a critical component of risk: the underlying asset. As climate volatility, regional market instability, and regulatory expectations continue to evolve, lenders and mortgage insurers are increasingly exposed to risks that are not captured in conventional scoring frameworks.
This session introduces property intelligence as a complementary risk layer that enhances credit decisioning, portfolio monitoring, and loss forecasting. By incorporating property attributes, valuation data, and environmental risk indicators, such as flood and wildfire exposure, lenders and mortgage insurers can better understand the true risk profile of their portfolios.
Understand the limitations of traditional borrower-centric credit models
Identify key property and environmental risk signals relevant to credit portfolios
Reconstruction Cost Analysis
Apply asset-level insights to underwriting and portfolio monitoring strategies
Recognize emerging regulatory and climate-related risk considerations
