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

Navigating Headwinds with Data and AI: July Models & Markets Recap

Humans in the Loop: Ensuring Trustworthy AI in Private ABF Deal Modeling

June 2025 Models & Markets Update – Predictive Power Amid Economic Uncertai...

Private Credit Market Pulse: What LPs Want from Their Data and How to Deliv...

RiskSpan’s August 2025 Models & Markets Call

Design Smarter — How AI is Changing UX from Idea to Execution

Models & Markets Update – May 2025

Using LLMs as judges for validating deal cash flow models: A new frontier i...

Mounting Pressure in Non-QM Credit: What March 2025 Data Signals for Risk M...

RiskSpan’s April 2025 Models & Market Call: Credit Model v7, Prepay Volatil...

RiskSpan Announces the Appointment of Howard Kaplan and Susan Mills to Advi...

From AI Hype to Helpful Assistant: AI Agents are coming soon to the RiskSpa...

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