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The Hartford · 1 month ago

Risk Manager - Model Risk Management

Hartford, CT

Full-time

Hybrid

Mid, Senior Level

$110K/yr - $165K/yr

5+ years exp

The Hartford is a leading insurance company committed to making a difference. They are seeking a Risk Manager for their Model Risk Management team to lead the review and validation of critical models across the enterprise, ensuring effective and efficient model performance.

Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance

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

Qualification

Advanced degreeModel validationPredictive modelingProgramming languagesInsurance product experienceAnalytical skillsCommunication skillsProblem-solving

Required

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

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