workflow:actuarial-model-validation
Actuarial Model Validation overview
Validates actuarial models used for reserving, pricing, and capital adequacy -- reviewing loss development triangle selections and trend assumptions, testing Generalized Linear Model and gradient-boosted model implementations against independent replications, evaluating model discrimination and calibration metrics on holdout datasets, assessing parameter stability across re-estimation windows, auditing exposure base accuracy and premium-to-loss linkage, stress-testing reserve adequacy under adverse scenario assumptions, reviewing ASOP (Actuarial Standard of Practice) compliance in documentation, and benchmarking model outputs against industry loss benchmarks. Produces model validation report, backtesting results, and remediation recommendations. Excludes model development and rate filing.
Attributes
Outgoing edges
- domain:insurance·DomainInsurance
- domain:finance·DomainFinance
- domain:data-science·DomainData Science
- role:data-scientist·RoleData Scientist
- role:ml-engineer·RoleMachine Learning Engineer
- role:planner·RolePlanner
- org-unit:risk-management-team·OrgUnitRisk Management Team
- org-unit:analytics-team·OrgUnitAnalytics Team
- skill-area:ml-fine-tuning·SkillAreaML Fine-Tuning
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
- responsibility:review-architecture-changes·ResponsibilityReview architecture changes