Table of Content
Problem Statement
Problem Statement
Solution Approach
Solution Approach
Client Impact
Client Impact
Problem Statement

The client needed to enhance Expected Loss (EL) models with Flood Risk data for CRE portfolios in flood-prone areas like Chicago.

Solution Approach

Solytics used the following data points to enhance the EL models:

  1. Trucost asset-location data, Swiss Re hazard data, and USGS data.
  2. Historical and daily water level data to assess risk.
  3. Analysis of property characteristics and event frequency.
Client Impact
  • Improved Expected Loss models with flood risk insights.
  • Enhanced risk assessment and mitigation strategies.
  • Provided actionable data for CRE portfolio management.

Case Studies

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Case Study
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Identity Fraud Model Testing & Validation

Improved model performance and regulatory compliance through testing and validation of identity fraud models.
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Vendor Model Validation - Yield Table and Super Yield Table

Ensured model accuracy and compliance by validating vendor models for mortgage-backed securities.
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Transforming and Automating the Underwriting Process

Standardized and sped up underwriting with AI, reducing costs and improving decision-making.
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