This episode breaks down how behavioral models are built and used in mortgage and capital markets.
How do you actually turn loan data into something you can trust for decision-making?
In this conversation, the focus is on what goes into behavioral modeling beyond the surface level. It walks through how teams think about prepayment and default behavior, what data matters, and where models can break down if assumptions are off. The discussion stays grounded in how this work is done day to day, not just how it looks in theory.
- What “behavioral modeling” really means in practice
- How prepayment and default assumptions are formed
- Where data quality impacts outcomes
- How teams use models to support real decisions
The AiCR Exchange features conversations with leaders across mortgage and financial services on document workflows and technology decision-making.