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Agentic AI Atlas · Actuarial Model Validation
workflow:actuarial-model-validationa5c.ai
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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.

WorkflowOutgoing · 12Incoming · 0

Attributes

displayName
Actuarial Model Validation
workflowKind
governance
triggerType
scheduled
typicalCadence
semi-annually
complexity
cross-team
description
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.

Outgoing edges

applies_to_domain3
  • domain:insurance·DomainInsurance
  • domain:finance·DomainFinance
  • domain:data-science·DomainData Science
involves_role3
  • role:data-scientist·RoleData Scientist
  • role:ml-engineer·RoleMachine Learning Engineer
  • role:planner·RolePlanner
performed_by_org_unit2
  • org-unit:risk-management-team·OrgUnitRisk Management Team
  • org-unit:analytics-team·OrgUnitAnalytics Team
requires_skill_area2
  • skill-area:ml-fine-tuning·SkillAreaML Fine-Tuning
  • skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
triggers_responsibility2
  • responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
  • responsibility:review-architecture-changes·ResponsibilityReview architecture changes

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