Remote P&C Pricing Actuary, Product & Analytics

Cesfl

United States

Remote

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

Criterion Executive Search seeks a Pricing Actuary for its Product Management function. This remote role focuses on pricing strategies, market analysis, and predictive analytics to optimize risk segmentation and profitability for a leading insurance organization.

The candidate will analyze pricing data, run simulations, and collaborate across sales, marketing, finance, and product teams. Requires 3-5+ years of P&C actuarial experience, actuarial designation, and strong Excel; SQL/R preferred.

Qualifications

  • 3-5+ years of P&C actuarial experience (rate adequacy, claims analysis).
  • Actuarial designation required.
  • Catastrophe modeling experience a plus.
  • ACAS/FCAS membership a plus.

Responsibilities

  • Analyze pricing data and market trends to develop pricing models and strategies.
  • Run pricing simulations and sensitivity analyses; build assumptions for the market.
  • Query and analyze claims data (SQL); support quantitative modeling projects.
  • Conduct competitive intelligence and market research.
  • Track pricing KPIs, margin analysis, and produce ELR estimates by state.
  • Partner cross-functionally with sales, marketing, finance, and product teams.
  • Identify process/automation improvements and help implement pricing tools.

Skills

P&C actuarial
Pricing analysis
Excel
SQL/R
ACAS/FCAS

Education

Bachelor's degree (Finance/ Economics/Business/Math)

Tools

SQL
R

Job description

Criterion Executive Search seeks a Pricing Actuary for its Product Management function. This remote role focuses on pricing strategies, market analysis, and predictive analytics to optimize risk segmentation and profitability for a leading insurance organization.

The candidate will analyze pricing data, run simulations, and collaborate across sales, marketing, finance, and product teams. Requires 3-5+ years of P&C actuarial experience, actuarial designation, and strong Excel; SQL/R preferred.

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