Actuarial and Data Science Model Validation

Actuarial and Data Science Model Validation role within Hartford's Model Risk Management focuses on validating critical enterprise models across multiple lines of business, ensuring accuracy of calculations, data inputs, and outputs, and delivering governance-ready validation reports.

• Perform model validations of critical models used across 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 and associations, including governance tracking

Emphasizes advanced analytics, predictive modeling, data science techniques, and actuarial modeling. Tools include Python, R, SAS/SQL, and Excel/VBA; governance and remediation reporting are key components.

The ideal candidate is an experienced actuary/data scientist with 5+ years in P&C, Group, or Life insurance modeling, holding ACAS/ASA or CFA preferred. Strong in Python, R, SAS/SQL, and predictive modeling with excellent communication and governance skills.

Preferred