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Salary
$115k - $160k
Experience
4+ Years

Role Summary

Role type

Pricing partner to reinsurance broking

Closer to a live-deal pricing partner than a modelling-heavy IC role because analysis is tied to submissions, placement, and client objectives.

AVP-level P&C actuarial role in New York with Acrisure Re, focused on pricing and structuring multi-line reinsurance. You’ll model proportional, excess-of-loss, and structured deals, support brokers and clients, and contribute to actuarial standards and tools. The role is an individual contributor position for an ACAS or near-ACAS with 4+ years of experience and active FCAS progression.

Requirements

Strongly preferred

  • 4+ years of actuarial experience
  • ACAS or near-ACAS designation
  • Active progression toward FCAS
  • Bachelor's or higher degree
  • Understanding of standardized (re)insurance pricing and reserving methodologies for property, casualty, specialty, and cyber coverages
  • Understanding of capital models and associated parameterization of pricing and reserve risk
  • Understanding of catastrophe models (RMS, AIR, KatRisk, etc.)
  • Strong Microsoft Excel skills
  • Experience with R
  • Familiarity with AI/LLM tools
  • Willingness to attend external forums and conferences
  • Domestic and overseas business travel may be required

Nice to have

  • Preferably reinsurance pricing experience
  • Degree preferably in Actuarial Science, Statistics, Mathematics, or related STEM field
  • Familiarity with SQL, Python, and VBA

Skills & Domain

ToolsExcel
DomainReinsurance pricing for proportional, excess of loss, structured dealsCommercial, personal, cyber, and specialty lines productsCapital models and parameterization of pricing and reserve riskCatastrophe models (RMS, AIR, KatRisk)

Role Summary

Role type

Pricing partner to reinsurance broking

Closer to a live-deal pricing partner than a modelling-heavy IC role because analysis is tied to submissions, placement, and client objectives.

AVP-level P&C actuarial role in New York with Acrisure Re, focused on pricing and structuring multi-line reinsurance. You’ll model proportional, excess-of-loss, and structured deals, support brokers and clients, and contribute to actuarial standards and tools. The role is an individual contributor position for an ACAS or near-ACAS with 4+ years of experience and active FCAS progression.

Requirements

Strongly preferred

  • 4+ years of actuarial experience
  • ACAS or near-ACAS designation
  • Active progression toward FCAS
  • Bachelor's or higher degree
  • Understanding of standardized (re)insurance pricing and reserving methodologies for property, casualty, specialty, and cyber coverages
  • Understanding of capital models and associated parameterization of pricing and reserve risk
  • Understanding of catastrophe models (RMS, AIR, KatRisk, etc.)
  • Strong Microsoft Excel skills
  • Experience with R
  • Familiarity with AI/LLM tools
  • Willingness to attend external forums and conferences
  • Domestic and overseas business travel may be required

Nice to have

  • Preferably reinsurance pricing experience
  • Degree preferably in Actuarial Science, Statistics, Mathematics, or related STEM field
  • Familiarity with SQL, Python, and VBA

Skills & Domain

ToolsExcel
DomainReinsurance pricing for proportional, excess of loss, structured dealsCommercial, personal, cyber, and specialty lines productsCapital models and parameterization of pricing and reserve riskCatastrophe models (RMS, AIR, KatRisk)

Job Overview

Salary
$115k - $160k
Experience
4+ Years

Ideal Candidate Profile

Ideal for an ACAS or near-ACAS P&C actuary with 4+ years of reinsurance pricing experience, especially across specialty, cyber, property, or casualty lines. The strongest fit will be technically confident, client-oriented, and comfortable working independently on complex deal analysis while mentoring junior analysts.

ACASFCAS

AVP, Actuarial

Acrisure Re

P&C/Broker/VP Level
Acrisure Re

AVP, Actuarial

Acrisure Re

New York, New York, United States · Onsite · Today

Reinsurance Multi Line

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