Actuarial And Data Science Model Validation

Hartford Fire Insurance

Base: $108,000 - $162,000; bonus/equity: short-ter...
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5+ years insurance product experience
Advanced degree in quantitative field
Python r sas sql programming skills
** The Hartford Fire Insurance is seeking a Sr Analyst for their Model Risk Management team, focusing on the validation of critical models across the organization. The ideal candidate will have significant experience in actuarial science or data science, along with strong analytical skills and a commitment to model risk management. **

Job Summary

  • The role involves leading efforts to review and validate critical models across the enterprise including advanced analytics and AI/ML.
  • Candidates will ensure model calculations are accurate, assess data inputs, and deliver effective challenges to key modeling elements.
  • The position offers a competitive base pay range of $108,000 to $162,000 along with bonuses and long-term incentives.

Matching Summary

Match Score: 75

** The Hartford Fire Insurance is seeking a Sr Analyst for their Model Risk Management team, focusing on the validation of critical models across the organization. The ideal candidate will have significant experience in actuarial science or data science, along with strong analytical skills and a commitment to model risk management. **

Salary

Base: $108,000 - $162,000; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: Not specified

Skills & Requirements

Must-have

  • 5+ years insurance product experience
  • Advanced degree in quantitative field
  • Python R SAS SQL programming skills
  • Predictive modeling and AI/ML validation
  • Strong analytical and critical thinking

Nice-to-have

  • ACAS ASA or FCAS FSA designation
  • CFA certification preferred
  • Experience with VBA Excel
  • Proactive self-directed accountability
  • Innovative problem solving creativity

Key Requirements

  • 5+ years P&C Group Life insurance experience
  • ACAS ASA FCAS FSA or CFA designation
  • Advanced degree in Statistics Mathematics or Engineering
  • Practical experience with predictive modeling techniques

Work Rights

Not specified

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