Hybrid Actuarial, Data Science Model Validation

at The Hartford

• Job title: Actuarial, Data Science Model Validation
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $108,000 - $162,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python, SQL, VBA
• Location requirements: Hybrid, Hartford, United States

About the role

• Risk Manager leading efforts in model validation for critical models at The Hartford. Collaborating with teams to ensure models perform effectively for various business purposes.

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 enterprise, including Data Science, Property & Casualty, Group Benefits, HIMCO, and a number of Corporate functions
• Pro-actively stay informed of department initiatives, deliverables, and reporting
• Assist in improving The Hartford’s Model Risk Management function, by monitoring external environment, implementing best practices, recommending process improvements, and evolving standards/guidelines

Requirements

• Advanced degree in Statistics, Applied Mathematics, Actuarial Science, Computational Science, Quantitative Economics, Engineering, or similar applied analytical field
• 5+ years of P&C, Group, Life or related insurance product experience
• ACAS/ASA or FCAS/FSA designation and/or CFA preferred
• Familiarity with different programming languages/technology platforms including Python, R, SAS/SQL, Excel/VBA
• Practical experience with predictive modeling/data science techniques
• Demonstrated experience and consistency in meeting deadlines while adapting to shifting priorities
• Strong analytical, critical and investigative thinking skills
• Solid verbal communication, listening, influencing, and written communication skills
• Ability to act independently with little direction, proactive self-directed accountability
• Solution oriented creativity and innovative thinking.

Benefits

• short-term or annual bonuses
• long-term incentives
• on-the-spot recognition