displayName
Underwriting Model Validation
workflowKind
governance
triggerType
scheduled
typicalCadence
quarterly
complexity
cross-team
description
Validates the statistical and machine-learning models used in insurance
underwriting -- back-testing loss-ratio predictions against actual
experience, evaluating model discrimination and calibration metrics
(AUC, Brier score), running regulatory-mandated adverse-impact analyses
across protected classes, reviewing feature-importance stability for
concept drift, and comparing challenger models against incumbent
production models. Produces model validation reports, regulatory
compliance documentation, and champion-challenger comparison summaries.
Excludes model development and retraining.