2027 Summer Analyst Program - Insurance Risk - Liability Risk (Modeling)

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. 

KKR's 2027 Summer Analyst Program is an opportunity for you to join a leading global investment firm, during your undergraduate career.

We are recruiting for Summer Analysts for KKR's Insurance business in our New York office within our Liability Risk (Modeling) team. Summer Analysts will gain hands-on exposure to liability modeling, risk assessment, and cross-functional collaboration across KKR’s insurance platform. Following the conclusion of the internship, 2028 full-time offers may be extended to exceptional performers.

Responsibilities:

The intern will work closely with other members of the risk team to:

• Assist and get exposure to liability modelling in R3S (formerly known as IBM’s Algo Financial Modeler) for building out liability models for new products or new institutional deals
• Help with identifying risks embedded in different liabilities by stressing insurance / liability assumptions / market conditions
• Assist enhancement of the risk modelling’s production infrastructure and help automate/improve the production reporting
• Conduct static and dynamic validations
• Collaborate with different functional teams such as Valuation, Product Development, Institutional business

Qualifications:

• Anticipated graduation date from an undergraduate program in December 2027 - June 2028
• Area of study in a quantitative discipline such as Actuarial Science, Statistics, Mathematics, Computer Science, or related field
• Exceptional analytical abilities and the eagerness to learn
• Demonstrated skills in Microsoft Office, particularly Excel
• Experience with SAS, Python, VBA or other programming preferred
• Comfort using AI tools to improve productivity and quality of work
• Curiosity about and openness to adopting emerging AI technologies in day-to-day workflows
• Ability to critically evaluate AI-generated outputs for accuracy and relevance
• Understanding of Insurance products and Actuarial Science knowledge preferred
• Ability and willingness to take ownership of projects and communicate to different stakeholders
• Ability to work independently and excel in a dynamic, exciting, and fast-paced environment

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 [email protected].

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 www.kkr.com/careers as a result of your disability. You can request reasonable accommodations by sending an email to [email protected].

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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$100,000—$110,000 USD

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.