Model drift

Roles that need it

• Data Scientist
• Data Scientist (Banking)
• Model Validation Analyst
• Credit Risk Model Developer

Skills it belongs to

• Model deployment (MLOps)
• Model validation and governance

Related concepts

• Machine learning modelA machine learning model is a mathematical function whose parameters are learned from historical data, so that it can predict or classify new cases, such as the probability that a loan defaults or that a payment is fraudulent. It is trained, tested on unseen data, deployed and then monitored.
• Explainability (AI)Explainability is the ability to describe, in terms a person can understand, why a model produced a given output, for example which factors drove a credit decline. It supports validation, human oversight, customer explanations under the GDPR and AI Act transparency duties.

Sources

• The Financial Stability Implications of Artificial Intelligence, FSB (external site) accessed 31 Oct 2026

Updated 31 Oct 2026.