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Customized, regulatory-compliant model validation and model risk management services. delivered with reliability, flexibility and practical insight.
25+

Years Experience

100%

Independent

Regulator

Ready

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• ALM Models • BSA / AML / Fraud • Credit Scorecards • CRE Stress Testing • CECL Validation • Interest Rate Risk • Liquidity Stress Testing • Model Risk Management • Model Certification • ALM Validation
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We combine deep expertise and experience with a customized approach to help financial institutions navigate and manage model risk with confidence.

We combine deep expertise and experience with a customized approach to help financial institutions navigate and manage model risk with confidence.

ValuRisk Partners was founded and is led by Josh Salzberg, a banking and model risk professional with nearly 25 years of experience, including more than a decade building and leading a model validation practice serving a broad range of financial institutions.

ValuRisk Partners

Josh Salzberg

Founder & CEO

Model Validation
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With experience spanning both quantitative modeling and industry practice, our team delivers rigorous, independent validation tailored to each institution’s models, governance structure, and risk profile.

Model Validation
Model Certification
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Through structured testing and review, we confirm that vendor models operate as intended, with calculations and code functioning accurately and consistent with industry practice.

Model Certification
Model Risk Management
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Our services cover all aspects of model risk management, providing tailored solutions to ensure your models are effectively governed, assessed, and managed throughout their lifecycle.

Model Risk Management

Our services are delivered through a flexible, client-specific approach - adapting scope, depth, and timing to align with your institution’s risk profile, governance structure, and regulatory expectations.

Perspectives

Why ALM Back-Testing Matters (and How to Do It Right)

After my post on CECL back-testing sparked a lot of good discussion, I wanted to follow up with a similar look at how institutions can approach back-testing for their ALM models. Here is a simple, practical way to think about ALM back-testing as well. ALM models are heavily assumption-driven. Prepayments, deposit betas and decay rates, reinvestment strategies, pricing assumptions, etc. Any one of these can meaningfully change the risk profile of the balance sheet. And because so many...

Jan 5, 2026

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