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Development sample

The data used to estimate, train, or select a model. Validators examine sampling design, exclusions, time periods, representativeness, leakage, and how development data differs from validation and production populations.

Last updated: Last reviewed by: Model Risk Directory editorial team

How the term is used in model risk management

The data used to estimate, train, or select a model. Validators examine sampling design, exclusions, time periods, representativeness, leakage, and how development data differs from validation and production populations. The exact implementation varies by institution, model type, risk rating, and governing framework. Use the linked regulatory pages and buyer guides below for scope-specific requirements.

Related glossary terms

Data qualityModel developmentOutcomes analysis

Guides and frameworks that use this term

GuideModel Risk ValidationModel risk validation is the independent testing of a specific model's conceptual soundness, ongoing performance, and outcomes, performed by staff or a third-party firm genuinely separate from that model's development. It is the 'effective challenge' function required under SR 26-2 and SR 11-7, distinct from broader model risk management program design.FrameworkHKMA CA-G-4HKMA CA-G-4 sets validation expectations for internal-ratings-based credit-risk systems used by authorized institutions. The current 2025 version covers governance, data, model design, quantitative and qualitative validation, use tests, stress testing, overrides, validation frequency, independence, findings, and supervisory review. It is model-specific rather than an enterprise-wide MRM standard.FrameworkMAS AI MRMThe MAS AI MRM paper reports good practices observed in a thematic review of selected banks. It covers AI governance, inventories, materiality assessment, data, development, independent validation, deployment, monitoring, change, generative-AI risks, and third-party models. It is supervisory guidance and observed practice, not a general statutory MRM rule.