Insurance Risk Modeler: ALM, Stress Testing & Valuations

KKR; New York (NY); On-site; USD 120,000 - 130,000; Full time

Job summary

KKR is seeking an Actuarial Associate in Insurance Risk Modelling based in New York. You will build and validate insurance liability models used for pricing, valuation, hedging, and ALM, and perform stress testing across multiple frameworks.

You will collaborate with Risk and business teams to translate insights into actionable risk management. The role requires strong modeling skills, experience with life and annuity products, and the ability to communicate complex concepts clearly.

Qualifications

• Requires a Bachelor's degree in a quantitative field.
• 5+ years in life/annuities or actuarial consulting.
• FSA/ASA or CFA designation preferred.
• 5+ years of experience in insurance models.
• Knowledge of life and annuity products preferred.
• Hedging or ALM experience preferred.
• Python programming skills highly desired.
• Strong verbal and written communication to explain complex concepts.

Responsibilities

• Develop insurance liability models in GA Risk’s liability modelling platform.
• Communicate findings and implications to Risk’s management team and stakeholders.
• Help onboard various Institutional transactions onto our Risk platform.
• Perform liability stresses under GAAP/Stat/Econ/Bermuda and understand actuarial and market risks.
• Support new product launches and ensure risk models are up to date with rate changes and new features.
• Perform validation and control reviews of actuarial/financial models and assess methodologies.
• Assist in developing quantitative models and analytical tools for risk management.

Skills

Python programming

Communication skills

Model development

Education

Bachelor's degree in quantitative discipline

FSA/ASA or CFA designation

Tools

GA Risk platform

Job description

KKR is seeking an Actuarial Associate in Insurance Risk Modelling based in New York. You will build and validate insurance liability models used for pricing, valuation, hedging, and ALM, and perform stress testing across multiple frameworks.

You will collaborate with Risk and business teams to translate insights into actionable risk management. The role requires strong modeling skills, experience with life and annuity products, and the ability to communicate complex concepts clearly.