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Role Summary

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HIGHLIGHTS

Senior actuarial role at KKR's insurance arm (Global Atlantic) focused on developing and enhancing insurance liability models within the risk platform. You'll own models end-to-end, run stresses under GAAP/Stat/Econ/Bermuda lenses, onboard new products and transactions, and build analytical tools. This is a deep technical modeling role in a fast-paced investment firm environment in New York.

JOB DESCRIPTION SUMMARY

  • Develop/enhance insurance liability models in KKR's risk platform
  • Perform liability stresses & understand actuarial/market risk
  • Onboard institutional transactions and support new product launches
  • Build quantitative models to challenge current pricing/practices
  • Hybrid role based in New York; 4-5+ years life/annuity modeling

DOMAIN EXPERTISE

  • Life and annuity product modeling
  • MG-ALFA/Pathwise/PolySystems experience
  • ALM or hedging experience
  • GAAP/Stat/Econ/Bermuda reporting

KEY REQUIREMENTS

  • 4-5+ years in life/annuity/financial consulting environment
  • 4-5+ years modeling insurance products (MG-ALFA/Pathwise/PolySys)
  • Bachelor's in quantitative discipline
  • Strong Python skills highly desired
  • No visa sponsorship available

TECH STACK

  • Excel
  • PowerPoint
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Role Summary

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HIGHLIGHTS

Senior actuarial role at KKR's insurance arm (Global Atlantic) focused on developing and enhancing insurance liability models within the risk platform. You'll own models end-to-end, run stresses under GAAP/Stat/Econ/Bermuda lenses, onboard new products and transactions, and build analytical tools. This is a deep technical modeling role in a fast-paced investment firm environment in New York.

JOB DESCRIPTION SUMMARY

  • Develop/enhance insurance liability models in KKR's risk platform
  • Perform liability stresses & understand actuarial/market risk
  • Onboard institutional transactions and support new product launches
  • Build quantitative models to challenge current pricing/practices
  • Hybrid role based in New York; 4-5+ years life/annuity modeling

DOMAIN EXPERTISE

  • Life and annuity product modeling
  • MG-ALFA/Pathwise/PolySystems experience
  • ALM or hedging experience
  • GAAP/Stat/Econ/Bermuda reporting

KEY REQUIREMENTS

  • 4-5+ years in life/annuity/financial consulting environment
  • 4-5+ years modeling insurance products (MG-ALFA/Pathwise/PolySys)
  • Bachelor's in quantitative discipline
  • Strong Python skills highly desired
  • No visa sponsorship available

TECH STACK

  • Excel
  • PowerPoint

Job Overview

Salary
$120k - $130k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ASA or FSA (or near-credentialed) candidate with 4-5+ years in life/annuity modeling, deep hands-on experience with MG-ALFA/Pathwise/PolySystems, strong Python skills, and a passion for building and stress-testing models end-to-end.

Benefits

Bonus EligibleAnnual Bonus
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
$120k - $130k
Years of Experience
4+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ASA or FSA (or near-credentialed) candidate with 4-5+ years in life/annuity modeling, deep hands-on experience with MG-ALFA/Pathwise/PolySystems, strong Python skills, and a passion for building and stress-testing models end-to-end.

Benefits

Bonus EligibleAnnual Bonus
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Actuarial Associate, Insurance Risk Modeling

Careers at KKR

Life/Insurer/IC Level
Careers at KKR

Actuarial Associate, Insurance Risk Modeling

Careers at KKR
New York, New York, United States•6h ago
OnsiteIndividual AnnuitiesIndividual Life ProtectionReinsurance Life HealthGroup Life

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