You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

　　Director, Model Validation

　　Overview of the Position:

　　The Hartford's Model Risk Management function seeks a Director Model Validation 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 and predictive 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, supplementary responsibilities include educating on modeling best practices and spreading model risk awareness across the enterprise. The preference for this role is to be based in Hartford, CT and relocation assistance is available.

　　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 efficientlyEnsure model calculations are accurate and appropriate for intended useAssess key data inputs and assumptions for accuracy and appropriatenessReview model outputs for accuracy and appropriate downstream usageDeliver effective challenge to key modeling elements such as inputs, calculations, outputs, conceptual soundness, monitoring & controls, documentation, etc.Build strong working relationships with key partners across the enterprise, including Data Science, Property & Casualty, Group Benefits, HIMCO, and a number of Corporate functionsPro-actively stay informed of department initiatives, deliverables, and reportingAssist in improving The Hartford's Model Risk Management function, by implementing best practices, recommending process improvements, and evolving standards/guidelines

　　Qualifications:

　　Advanced degree in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Engineering, or similar applied analytical field5+ years of P&C, Group, Life or related insurance product experienceACAS/ASA or FCAS/FSA designation and/or CFA preferredFamiliarity with different programming languages/technology platforms including Excel/VBA, Python, R, SAS/SQLPractical experience with predictive modeling / data science techniquesProject management skills an important plusStrong analytical, critical and investigative thinking skillsSolid verbal communication, listening, influencing, and written communication skillsAbility to act independently with little direction, proactive self-directed accountabilitySolution oriented creativity and innovative thinking

　　*Relocation benefits may be offered to the right candidate if interested

　　Compensation

　　The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

　　$122,080 - $183,120

　　Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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