You will be leading the charge in building out the model risk management practice. This includes establishing and managing the enterprise-wide framework that governs how models are managed and validated, as well as how the associated risks are captured, mitigated, controlled and reported.
- Location: Warren/NYC; Bermuda; London; Dublin
- Category: Risk
- Type: Permanent
Key responsibilities including however, not limited to the following:
- Framework Build & GovernanceRefine and implement the Group-wide Model Risk Mgmt. policy, model validation standards, and model risk tiering framework, calibrated to BMA and IAIS ComFrame requirements.
- Develop reporting packs, escalation protocols, and Board-level model risk disclosures for the relevant risk committee oversight.
- Build and maintain the enterprise model inventory across all business lines; define materiality thresholds and validation prioritisation criteria.
- Establish a lean approach towards validating 1st line model-owner responsibilities.
- Formulate a model risk appetite approach as appropriate and embed model risk metrics into the risk reporting.
- Define and maintain separate validation standards for traditional quantitative models across actuarial costing and reserving as well as finance and investments, capital models, third-party/vendor models (including catastrophe models), and AI/ML models.
- Model ValidationEnsure execution of independent model validations across the model inventory with appropriate prioritsation, with particular emphasis on high-tier (high impact / high complexity / high visibility) models.
- Act as the Group’s subject matter expert on model risk in interactions with the BMA and other regulators, as well as stakeholders such as external auditors.
- Qualified actuary (FCAS, ACAS, FIA, or equivalent) or advanced degree in a quantitative discipline
- 15 years’ experience in model risk management, model validation, and/or quantitative risk in re/insurance
- Direct experience with P&C re/insurance model types — pricing, reserving, catastrophe, capital
- Working knowledge of BMA and IAIS ComFrame regulatory requirements; other jurisdictions a plus (e.g. Solv. 2)
- Experience with AI/ML model governance, including explainability frameworks and bias testing