Model quality assurance P&C - Model Governance Compliance Checker

Purpose

Model quality assurance P&C - Model Governance Compliance Checker is designed to support the validation of chain-ladder or GLM reserving outputs by building alternate ML-based reserving models within an insurance context.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS Team/BU and the listed owner is Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits into insurance model quality assurance and model governance compliance activities, specifically when reserving outputs from chain-ladder or GLM approaches need to be validated.

Key capabilities / workflow

The workflow uses claims triangles, paid or incurred losses, and exposure data to build alternate ML-based reserving models, then supports validation of chain-ladder or GLM outputs and checks alignment with the model governance compliance purpose stated in the agent name.

Inputs

Specific operational inputs are not specified. The provided dataset includes claims triangles, paid or incurred losses, and exposure data.

Outputs / Deliverables

The outputs are not specified in the provided information. Please refer to documentation for the exact expected deliverables and publication-ready output format.

Value

The agent provides value by supporting independent model quality assurance for insurance reserving, helping validate traditional chain-ladder or GLM outputs through alternate ML-based reserving models.