2027 Summer Analyst Program - Insurance Risk - Data Science

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 graduate career.

We are recruiting for Summer Analysts for KKR's Insurance business in our New York office within our Liability Risk business. The Insurance Data Science group reports through the Chief Risk Officer and uses industry-leading machine learning and AI techniques and big data tools to develop predictive models for policy-level transactions and human behaviors. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and to assist in forecasting and financial reporting.

The group has a unique vantage point into nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. Summer Analysts will gain hands-on exposure 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: Implement machine learning and optimization tools
• Develop supervised and unsupervised machine learning models
• Build AI solutions for the team and the wider firm
• Assist with ad hoc data analytics projects
• Collaborate to develop the team’s automated data pipeline

Qualifications:

• Anticipated graduation date from a master’s program in December 2027 - June 2028.
• Area of study in quantitative discipline such as Computer Science, Engineering, Mathematics, Actuarial Science, or related technical fields.
• Background in a technical or scientific field and at least three years/six semesters of programming experience.
• Proficiency in Python and SQL is required, along with extensive understanding of data structures, statistics, regression, and core machine learning methods.
• Knowledge of Generative AI and modern LLM tooling is required - e.g. building RAG pipelines with vector search, agentic workflows, and tool/function calling (MCP-based integrations). Exposure to loop engineering, structured outputs, and evaluating LLM systems is valued.
• Ability to critically evaluate AI-generated outputs for accuracy and relevance is required.
• Comfort using AI tools to improve productivity and quality of work is required.
• Strong analytical, organizational, and communication (written and verbal) skills.
• Proactive, detail oriented, and deadline driven; possess excellent documentation.
• 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 kkrcampusrecruiting@kkr.com.
• 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 kkrcampusrecruiting@kkr.com.

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