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Actuarial Associate, Insurance Risk Modeling

Open 28d posting dated 2 weeks ago · reposted 2× · 2 open copies

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

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

#LI-Onsote

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Home Address optional
  • LinkedIn Profile optional
  • Website optional
  • Are you presently authorized to work for our company in the U.S.? choose one
  • If your present U.S. work authorization is temporary, please provide expiration date of the work authorization in MM/DD/YYYY format. optional
  • Will you require our company to sponsor you to obtain, maintain, or extend current or future U.S. employment/work authorization? choose one
  • Is there anything else you would like us to know regarding the three questions above? optional
  • Are you currently an employee or have you been previously employed by KKR? choose one
  • Were you referred by a current or previous KKR employee, or by an external affiliate of KKR? choose one
  • Please provide name of Referrer. If not applicable, please indicate N/A. optional
  • Is the referrer aware they are being cited as a referral source? choose one · optional
  • Have you interviewed with KKR, its affiliates or any of its portfolio companies in the past 12 months? choose one
  • If yes, please provide details of the role, location and date. optional
  • Do you currently have a non-compete, non-solicitation, or notice period agreement that may affect your employment with KKR? Select all that apply. choose any
  • If you replied yes to the question above, please provide details of non-compete, non-solicitation and/or notice periods. optional
  • Are you currently, or have you ever been, employed by Deloitte in any capacity--for example, full-time, part-time, fixed-term, contractor/temporary, or intern/co-op/apprentice or the like? choose one
  • If yes, please provide your Deloitte employment details: job title, employment dates (MM/YYYY - MM/YYYY or MM/YYYY - Present, and office/location (city, country).
  • Do you have any family members currently employed by KKR (inclusive of Global Atlantic Financial Company (“GA”)? For purposes of this question, a “family member” includes (a) anyone related to a KKR or GA employee by blood, adoption, foster care or marriage (including step-relationships); or (b) a spouse, fiancé(e), domestic partner, or any individual with whom the employee has a relationship that is substantially similar to a familial or marital relationship. choose one
  • If Yes, please provide the name of the current GA or KKR employee and identify the familial relationship.
  • I confirm that my application materials and interview responses reflect my own work and were not generated, edited, or supplemented by AI tools (e.g., ChatGPT, Gemini, Claude, etc.). choose one
  • Please indicate any languages in which you are fluent. choose any
  • If you are fluent in any additional language, please specify. optional

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