Senior Analyst, Model Risk & AI, Data Science, Actuarial Model Validation

The Hartford

. Perform model validations of critical models used across The Hartford’s functional areas and lines of business .

Posted 10/6/2026full-timeRemote • Connecticut • United StatesSenior💰 $108,000 - $162,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in model validation, risk assessment, and governance within the insurance sector, leveraging advanced analytical skills and familiarity with predictive modeling techniques. Proficient in communicating complex concepts to diverse stakeholders while promoting best practices in model risk management.

Highest-signal resume keywords

Model ValidationPredictive ModelingStatistical AnalysisProject ManagementModel Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive ModelingModel ValidationData AnalysisRisk Assessment

Soft Skills

Analytical ThinkingProblem SolvingCommunicationCollaborationCreativity

Tools & Technologies

ExcelVBARPythonSASSQLC++Java

Certifications & Qualifications

ACASASAFCASFSACFA

Industry Keywords

InsuranceModel Risk ManagementData ScienceActuarial ScienceQuantitative Economics

Tech Stack

Tools & technologies

JavaPythonSQLVBAC++

About the role

Key responsibilities & impact

Perform model validations of critical models used across The Hartford’s functional areas and lines of business
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 modeling inputs, calculations, outputs, conceptual soundness, monitoring and controls, and documentation
Identify findings and recommendations to mitigate model risk
Compile clear, concise, and well-structured model validation reports
Perform in-depth assessments of model risk
Manage governance accountabilities related to findings tracking, remediation testing, and validation
Strengthen partnerships with Data Science and Actuarial teams
Educate stakeholders on modeling best practices and promote model risk awareness
Support maintenance of the enterprise model risk management framework, including policies, standards, procedures, and governance processes
Monitor the external environment, implement best practices, recommend process improvements, and evolve standards and guidelines

Requirements

What you’ll need

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 Excel/VBA, R, Python, SAS/SQL, C++, and Java
Practical experience with predictive modeling / data science techniques preferred
Project management skills an important plus
Familiarity with Supervisory Guidance on Model Risk Management (SR 11-7/ SR 26-2, PRA SS1/23) viewed as favorable
Ability to act independently with proactive self-directed accountability and meet deadlines while adapting to shifting priorities
Strong analytical, critical, and investigative thinking skills
Commitment to lifelong learning and continuous development in evolving modeling techniques and AI technologies
Solution-oriented creativity, innovative thinking, and challenging the status quo
Excellent communication and collaboration skills, including explaining complex technical concepts to non-technical stakeholders

Benefits

Comp & perks

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Hybrid or 100% remote work arrangement