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Role Summary

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HIGHLIGHTS

Manager-level model validation role at a major insurer in Hartford, CT. Lead validation of critical models used across P&C, Group Benefits and Life for pricing, valuation, capital and reporting. Work includes validating predictive/AI models and traditional actuarial models, reporting findings, and improving model risk policies and standards.

JOB DESCRIPTION SUMMARY

  • Lead validation of critical models across the enterprise (pricing, capital, reporting)
  • Validate model inputs, calculations, outputs, assumptions, and controls
  • Work with Data Science, P&C, Group Benefits, HIMCO and corporate partners
  • Use Python/R/SAS/SQL and Excel/VBA for model review and testing
  • Manager-level role requiring 5+ years insurance product experience

DOMAIN EXPERTISE

  • model validation and model risk governance
  • predictive modeling / data science techniques
  • P&C, Group or Life insurance product experience
  • model reporting and findings remediation tracking

KEY REQUIREMENTS

  • Advanced degree in statistics, mathematics, actuarial science, or similar
  • 5+ years of P&C, Group, Life or related insurance product experience
  • Practical experience with predictive modeling and data science techniques
  • Familiarity with Python, R, SAS, SQL and Excel/VBA
  • Strong analytical, communication, and deadline management skills

TECH STACK

  • Excel
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Role Summary

Loading...

HIGHLIGHTS

Manager-level model validation role at a major insurer in Hartford, CT. Lead validation of critical models used across P&C, Group Benefits and Life for pricing, valuation, capital and reporting. Work includes validating predictive/AI models and traditional actuarial models, reporting findings, and improving model risk policies and standards.

JOB DESCRIPTION SUMMARY

  • Lead validation of critical models across the enterprise (pricing, capital, reporting)
  • Validate model inputs, calculations, outputs, assumptions, and controls
  • Work with Data Science, P&C, Group Benefits, HIMCO and corporate partners
  • Use Python/R/SAS/SQL and Excel/VBA for model review and testing
  • Manager-level role requiring 5+ years insurance product experience

DOMAIN EXPERTISE

  • model validation and model risk governance
  • predictive modeling / data science techniques
  • P&C, Group or Life insurance product experience
  • model reporting and findings remediation tracking

KEY REQUIREMENTS

  • Advanced degree in statistics, mathematics, actuarial science, or similar
  • 5+ years of P&C, Group, Life or related insurance product experience
  • Practical experience with predictive modeling and data science techniques
  • Familiarity with Python, R, SAS, SQL and Excel/VBA
  • Strong analytical, communication, and deadline management skills

TECH STACK

  • Excel

Job Overview

Salary
$110k - $165k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

A manager-level model risk professional with an advanced quantitative degree and 5+ years in insurance model work (P&C/Group/Life), skilled in predictive modeling and Python/R, and comfortable leading enterprise model validations. Near- or credentialed actuaries (ACAS/ASA/FCAS) with strong communication and stakeholder management are ideal.

Benefits

Annual BonusLong Term Incentives
Shortlist Forming
Closing Soon
76d
76 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
$110k - $165k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

A manager-level model risk professional with an advanced quantitative degree and 5+ years in insurance model work (P&C/Group/Life), skilled in predictive modeling and Python/R, and comfortable leading enterprise model validations. Near- or credentialed actuaries (ACAS/ASA/FCAS) with strong communication and stakeholder management are ideal.

Benefits

Annual BonusLong Term Incentives
Shortlist Forming
Closing Soon
76d
76 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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