Regulatory-ready Model Validation reports, without the manual effort
Model validation reports must be produced repeatedly to meet regulatory and internal requirements. As model portfolios grow, this becomes time consuming and hard to scale.
Yields helps organisations generate consistent, regulator-ready validation reports using one Model Risk Management software platform.
Model validation is not a one time exercise.
Regulatory and internal requirements force organizations to produce validation reports again and again.
In practice, teams face:
This makes model validation highly time consuming and difficult to scale.
How model validation works with yields
1. Start your validation
Submit your model details, documentation, and data through the secure Yields workspace.
2. Automated testing
The platform runs standardized quantitative and qualitative checks to assess accuracy and stability.
3. Expert review
Your validation team or our validation specialists analyse the results, identify issues, and provide clear recommendations.
4. Validation report
Receive a regulator-ready report with findings, conclusions, and next steps. All traceable in one place.
5. Revalidate when needed
When models are updated, rerun tests instantly to confirm that all issues are resolved.
Proven results with Yields
Yields helps teams complete validations faster through smart automation, streamlined collaboration, and reusable workflows.
Efficiency per model
Increased model validation productivity
Model Validation as a Service
For teams with limited capacity, tight deadlines or peak workloads, Yields also offers Model Validation as a Service.
In this setup, Yields experts and specialized partners perform the validation and deliver regulator-ready reports, fully traceable in the same platform.
Ready to strengthen Model Risk Assessment?
See how Yields helps organisations apply consistent and transparent Model Risk Assessment as part of its Model Risk Management software.
FAQ
Model validation is an independent assessment of whether a model is conceptually sound, implemented correctly, and performing as intended. It evaluates the model’s design, assumptions, data, methodology, and outcomes to determine whether it is fit for its intended purpose.
Independent validation provides objective challenge. It reduces the risk of errors, inappropriate assumptions, or biased outcomes going unnoticed. For regulated institutions, independence is also a supervisory expectation and a key element of a robust Model Risk Management framework.
A comprehensive validation typically includes:
- Conceptual soundness review
- Data quality and data lineage assessment
- Methodology and assumptions review
- Implementation testing
- Performance and backtesting analysis
- Sensitivity and stress testing
- Documentation review
The scope depends on the model’s complexity and materiality.
Validation frequency depends on the model’s risk classification. High impact or high risk models are usually validated annually. Revalidation is also required after material model changes, performance deterioration, regulatory updates, or significant shifts in underlying data.
Model Validation as a Service provides independent, structured validation of your models without requiring you to expand your internal validation team. It combines expert review, standardized workflows, and clear reporting to ensure models are conceptually sound, properly implemented, and performing as intended.
Yields delivers this service through its Model Risk Management platform by centralizing documentation, automating validation workflows, tracking findings, and ensuring full auditability. Validation activities are transparently managed within the system, from scoping and evidence collection to issue tracking and reporting. This enables consistent validation standards, clear governance oversight, and seamless integration with your existing model inventory and risk framework.