Model Validation
Get clear and comprehensive model validation reports that satisfy internal stakeholders and meet regulator requirements.

Conceptual Soundness
We test the reasonableness of model data inputs, assumptions, and calculations by assessing how coefficients were selected, confirming that their selection is justified using developmental evidence, and reviewing all model documentation.
Ongoing Monitoring
Our validators benchmark model outputs across a wide range of shock scenarios using RiskSpan’s suite of proprietary credit, prepayment, and valuation models. Whether coded in SAS, R, Excel, or Python, we ensure model consistency with critical documentation and best practices.
Outcomes Analysis
We tailor the statistical tests for back-testing to the specifics of each model under review and work with your team to develop thresholds and tolerance levels appropriate for each model, their respective outputs, and each use case. Recommendations are adapted to your needs when recalibration is required.
Get clear and comprehensive model validation reports that satisfy internal stakeholders and meet regulator requirements.
Resources
Article
RiskSpan Launches Credit Model 7.1, a Purpose-Built NonQM Credit Model Insi...
Models & Markets Update: July 2026
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RiskSpan Collaborates with LSEG to Power Structured Finance Evaluated Prici...
Models & Markets Update: June 2026
The Insurance ABF Stack: Panel Takeaways
How Mortgage Teams Are Using RiskSpan’s AI Agent to Answer MBS Data Questio...
Models & Markets Update: May 2026
AI’s Uneven Impact on Labor Demands a Local Housing View
Models & Markets Update: April 2026
Models & Markets Update: March 2026
From Household Debt to Non-QM Credit: February Models & Markets Recap

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