Salary: $150k - $200k
Experience: 2+ Years

Role Summary

Role type

Client-facing property analytics

Closer to client-facing consulting than a modelling-heavy IC role because model results are used in placements, renewals, RFPs, and prospect meetings.

Associate P&C actuarial role in commercial property pricing and CAT modelling, based in New York with a hybrid schedule of 3 to 5 office days weekly. You’ll build and validate pricing models, work with messy exposure and loss data, and translate results into broker and client recommendations for renewals and new business.

Requirements

Must have

At least 2 years of dedicated property pricing or modeling work

Strongly preferred

ACAS designation preferred but not required
Real property modeling experience including loss development, trend, frequency/severity, CAT load integration, layer pricing
Strong Excel skills and proficiency in at least one of Python, R, or SQL
Use of AI tools in daily work (Copilot, ChatGPT, Claude)
Ability to explain work without jargon to brokers and clients
2+ years of actuarial work with meaningful time on property pricing or modeling
Bachelor's degree in actuarial science, math, stats, or quantitative field
Self-starter mindset
Understanding of commercial property program structures, towers, TIV values
Experience with benchmarking, limit adequacy, and TCOR modeling in renewal conversations
Comfort with complex programs: layered placements, quota shares, deductibles, SIRs, captives
Ability to work across multiple stakeholders (brokers, practice leaders, clients, technical team)

Nice to have

Brokerage, reinsurance, or carrier-side property pricing experience
Familiarity with major CAT models (AIR, RMS) and how vendor output is used

Skills & Domain

ToolsExcelPower_BITableauPowerPointExcel

DomainCommercial property pricingLoss development and trend analysisCAT model integration (AIR, RMS)Layer pricing and limit adequacyBenchmarking and TCOR modeling

Role Summary

Role type

Client-facing property analytics

Closer to client-facing consulting than a modelling-heavy IC role because model results are used in placements, renewals, RFPs, and prospect meetings.

Requirements

Must have

At least 2 years of dedicated property pricing or modeling work

Strongly preferred

ACAS designation preferred but not required
Real property modeling experience including loss development, trend, frequency/severity, CAT load integration, layer pricing
Strong Excel skills and proficiency in at least one of Python, R, or SQL
Use of AI tools in daily work (Copilot, ChatGPT, Claude)
Ability to explain work without jargon to brokers and clients
2+ years of actuarial work with meaningful time on property pricing or modeling
Bachelor's degree in actuarial science, math, stats, or quantitative field
Self-starter mindset
Understanding of commercial property program structures, towers, TIV values
Experience with benchmarking, limit adequacy, and TCOR modeling in renewal conversations
Comfort with complex programs: layered placements, quota shares, deductibles, SIRs, captives
Ability to work across multiple stakeholders (brokers, practice leaders, clients, technical team)

Nice to have

Brokerage, reinsurance, or carrier-side property pricing experience
Familiarity with major CAT models (AIR, RMS) and how vendor output is used

Skills & Domain

ToolsExcelPower_BITableauPowerPointExcel

DomainCommercial property pricingLoss development and trend analysisCAT model integration (AIR, RMS)Layer pricing and limit adequacyBenchmarking and TCOR modeling

Role Summary

Role type

Requirements

Must have

Strongly preferred

Nice to have

Skills & Domain

Role Summary

Role type

Requirements

Must have

Strongly preferred

Nice to have

Skills & Domain

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