Actuarial Associate, Insurance Risk Modeling

KKR

$120K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in quantitative disciplines
  • 4 to 5+ years in a diversified life and annuity / financial or actuarial consulting environment
  • 4 to 5+ years modeling insurance products, with a proven track record on complex products
  • Clear communication skills for technical and non-technical audiences

Responsibilities

  • Develop and enhance insurance liability models in KKR Insurance Risk's liability modeling platform
  • Perform liability stresses under multiple lenses (GAAP / Stat / Econ / Bermuda)
  • Onboard institutional transactions onto the Risk platform
  • Support new product launches and update risk models with rate changes
  • Run validation and control reviews of actuarial and financial models
  • Build quantitative models and analytical tools to challenge risk management practices
  • Communicate findings to Risk's leadership and stakeholders

Benefits

  • Collaborative work environment with access to cutting-edge risk modeling technology
  • Opportunity to influence product pricing and risk decisions directly
  • Engagement with AI in daily tasks to enhance modeling processes
  • Involvement in onboarding new product features and managing risk
  • Potential for performance-based discretionary bonuses
Full Job Description
Actuarial Associate, Insurance Risk Modeling

Build the models that move the business

If you love being hands-on with models - architecting them, breaking them, stress-testing them, and making them better - this role is built for you. As an Actuarial Associate on GA Risk's modelling team, you'll spend your days deep in the mechanics of insurance liability models that drive real decisions: how products are priced, how billions in liabilities are valued, how risk is hedged, and how the firm manages its balance sheet. You'll own models end to end and see your work shape live pricing and risk decisions.

What makes this role different

You won't be maintaining someone else's black box. You'll be developing and enhancing liability models directly in our risk platform, running stresses across GAAP, Stat, Econ, and Bermuda lenses to understand how liabilities behave under pressure, and building the analytical tools that let Risk challenge the status quo on modeling and pricing.

You'll also sit close to the action. As new products launch and institutional transactions come onboard, you'll be the one bringing them onto the platform - which means you'll understand the full picture of both actuarial and market risk, not just a narrow slice of it.

AI is going to be central in what you do. It is already elevating everything the team does and you will be asked to explore and integrate with AI with your daily work in every way possible.

What you'll do
  • Develop and enhance insurance liability models in KKR Insurance Risk's liability modeling platform.
  • Perform liability stresses under multiple lenses (GAAP / Stat / Econ / Bermuda), building a deep understanding of both actuarial and market risk.
  • Onboard institutional transactions onto the Risk platform.
  • Support new product launches and keep risk models current with rate changes and new product features
  • Run validation and control reviews of actuarial and financial models, including critical assessment of the methodologies and assumptions behind them
  • Build quantitative models and analytical tools that empower Risk to provide constructive challenges to current risk management, modeling, and pricing practices
  • Communicate findings and their implications clearly to Risk's leadership and business stakeholders

What you'll bring
  • Bachelor's degree in quantitative disciplines
  • 4 to 5+ years in a diversified life and annuity / financial or actuarial consulting environment
  • 4 to 5+ years modeling insurance products, with a proven track record on complex products, ideally with MG-ALFA/Pathwise/PolySystem experiences.
  • Clear, compelling communication skills, especially when translating technical concepts for both technical and non-technical audiences

Nice to have:
  • Professional designation such as FSA / ASA or CFA
  • Working knowledge of life and annuity products
  • Prior hedging or ALM experience
    • Strong Python skills - highly desired.

This role is not eligible for visa sponsorship now or in the future.

This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.

Base Salary Range $120,000 - $130,000

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