Actuarial and Data Science Model Validation

Actuarial and Data Science Model Validation at The Hartford in Boise, Idaho, United States Job Description Sr Analyst Model Risk Management - KM07AE We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Actuarial and Data Science Model Validation Overview of the Position: The Hartford’s Model Risk Management function seeks a Risk Manager that will join a talented and high-performing Model Risk Management team. The successful candidate will lead efforts for the review and validation of critical models across the enterprise. A variety of modeling methodologies are employed at The Hartford including Advanced Analytics, Predictive, and AI/ML models in Data Science and traditional actuarial and business function methods. Models are used throughout The Hartford for a variety of purposes, including product pricing, asset pricing and valuation, risk management, reporting, economic capital, accounting, and operational functions. The Model Risk Management team manages model risk across The Hartford by validating critical models, implementing consistent policies and standards, and maintaining appropriate model oversight. As part of the team, this role will focus primarily on validating models throughout The Hartford and reporting results to key internal stakeholders. Through the validation process, additional responsibilities include educating on modeling best practices and spreading model risk awareness across the enterprise. Responsibilities: + Perform model validations of critical models used across The Hartford’s functional areas and lines of business to ensure models are performing effectively and efficiently + Ensure model calculations are accurate and appropriate for intended use + Assess key data inputs and assumptions for accuracy and appropriateness + Review model outputs for accuracy and appropriate downstream usage + Deliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc. + Identify findings and recommendations to mitigate model risk, compile clear, concise and well-structured model validation reports, perform in-depth assessments of model risk, perform governance accountabilities related to findings tracking, remediation testing, and validation + Build strong working relationships with key partners across the To view full details and how to apply, please login or create a Job Seeker account

Created: 2026-04-04