Senior Model Risk & AI Validation Analyst

The Hartford; United States; Remote; USD 108,000 - 162,000; Full time

Job summary

The Hartford seeks a Senior Analyst in Model Risk Management to lead validation efforts for enterprise models across multiple lines of business. You will work with Data Science and Actuarial teams to ensure accurate inputs, sound methodologies, and robust governance.

Ideal candidates bring 5+ years in P&C/related insurance and strong programming skills (Python, SAS/SQL, R) with an advanced quantitative degree. This role offers growth, collaboration, and risk-aware decision-making.

Qualifications

• Advanced degree in a quantitative field required.
• 5+ years in P&C, Group, Life or related insurance product experience.
• ACAS/ASA or FCAS/FSA designation and/or CFA preferred.
• Proficiency with Excel/VBA, R, Python, SAS/SQL, C++, Java.
• Strong modeling and data science experience recommended.
• Ability to work independently and meet deadlines.

Responsibilities

• Perform model validations of critical models across The Hartford.
• Ensure calculations are accurate and appropriate for use.
• Assess data inputs and assumptions for accuracy.
• Review model outputs and downstream usage; provide recommendations.
• Maintain governance and reporting of findings.
• Collaborate with Data Science and Actuarial teams.
• Support enterprise model risk framework maintenance.

Skills

Analytical thinking

Communication skills

Self-directed

Project management

Lifelong learning

Education

Advanced degree in statistics / applied mathematics / actuarial science / computational science / quantitative economics / engineering

ACAS/ASA or FCAS/FSA designation and/or CFA

Tools

Excel/VBA

R

Python

SAS/SQL

C++

Java

Job description

The Hartford seeks a Senior Analyst in Model Risk Management to lead validation efforts for enterprise models across multiple lines of business. You will work with Data Science and Actuarial teams to ensure accurate inputs, sound methodologies, and robust governance.

Ideal candidates bring 5+ years in P&C/related insurance and strong programming skills (Python, SAS/SQL, R) with an advanced quantitative degree. This role offers growth, collaboration, and risk-aware decision-making.