2027 Summer Analyst Program - Technology

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.

Team Overview KKR’s Technology organization is a global group of passionate technologists and product managers, unified by a shared mission to deliver exceptional products and solutions that drive value for our stakeholders, clients, and investors. Our passion for technology and innovation fuels our commitment to creating high-quality, impactful solutions that address complex challenges and meet the evolving needs of our sophisticated businesses. Teamwork is at the core of the organization’s success. We thrive on open collaboration and continuous learning, driving a culture that values diversity of thought and collective achievement. Our global footprint fosters the integration of a diverse set of ideas and viewpoints in product and solution delivery, allowing us to design more comprehensive solutions that are adaptable and scalable. We optimize for impact, prioritizing and delivering solutions with excellence while remaining agile in response to the evolving needs of our businesses. As a member of this global team, individuals are expected to actively contribute to a collaborative and innovation-driven environment, bringing an intellectual curiosity to their approach to problem solving. This includes embracing key values such as open communication, continuous learning, and a focus on delivering with impact. Team members are also expected to uphold high standards of excellence in their work, while supporting and learning from others. Program Overview This is a

10-week in-person internship that will take place from June 7, 2027 – August 13, 2027. You will work with one of the teams outlined below for the duration of the internship

and will attend a 2-day orientation that provides an overview of KKR and alternative investments. You will work on various projects, attend educational and network-building programming, and have the opportunity to showcase your work to technology leaders.

While the internship will take place in New York, NY, full-time offers may be extended in alignment with exceptional performance and may be in New York, NY or Boston, MA depending on business headcount needs. Teams You May Be Considered For Engineering

AI, Data, and Platform Technologies (ADAPT):

ADAPT is the foundation of KKR Technology, bringing together its technology pillars – spanning AI and Applied AI, Data and Platform Engineering, Infrastructure, SRE, Technology Experience, and Program Management – to accelerate modernization, automation, and insight. It delivers secure, scalable, business-aligned platforms and experiences that enable KKR to scale Investment Systems:

The Investment Systems team engineers all aspects of the Investment Lifecycle across an array of asset classes – from deal sourcing and portfolio construction to risk management and monetization. They design platforms that connect data, people, and insights across Private Equity, Credit, Real Estate, Infrastructure, and Capital Markets, enabling investment teams to make faster, smarter decisions at scale. Their mandate is to transform how KKR invests by engineering shared, data-driven platforms that replace fragmented legacy tools with integrated solutions that drive efficiency, transparency, and alpha generation Client Systems:

The Client Systems team builds technology that powers how KKR connects with and grows its client relationships globally. Working at the intersections of engineering, data and AI, the team develops intelligent solutions that enable Sales and Marketing teams to identify opportunities, target the right prospects/clients, personalize engagement and drive fundraising and growth across KKR’s Institutional and Global Wealth businesses. From AI-powered insights and recommendations, intelligent workflows and next-generations digital experiences, Client Systems offers engineers the opportunity to apply emerging technologies to real-world problems and reimagine how KKR engages with its prospects and clients and delivers a differentiated client relationship experience at scale. Business Operations Systems:

The Business Operations Systems team is comprised of Operations Systems and Enterprise Systems. It consolidates capabilities across five core domains: Operating Platform Services, which supports the firm's core operating platforms and workflows; Client Operations, covering client onboarding, servicing, and lifecycle management across Asset Management and Insurance; Finance Technology, providing an integrated fund and corporate finance technology ecosystem; Human Capital & Employee Experience, driving HR platforms, workforce data, collaboration tools, and employee experiences; and Governance, Risk & Compliance Technology, supporting the Legal, Compliance, Risk, Audit, and Tax functions

Product Management

The Product Management team works with stakeholders across the firm to understand business needs, translate them into clear requirements for engineering, and set the vision and roadmap for technology products and systems

Critical Competencies for Success: Currently attending a university in North America with an outstanding academic record Currently enrolled in a bachelor’s or master’s degree in computer science or related technical field with an anticipated graduation in December 2027 – June 2028 Proficiency with Microsoft Excel and PowerPoint for data analysis and communicating ideas Proficiency with Java, Python, c/c++ 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 Familiarity with effective prompt design and generating reliable results using generative AI tools Exceptional communication and interpersonal skills Ability to act both strategically and tactically with exceptional attention to detail Outstanding time management and organizational skills with the ability to manage multiple tasks with competing deadlines Team-player who enjoys working in a collaborative and collegial environment and is willing to pitch-in when needed Intellectual curiosity and an interest in financial services and alternative investments 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 View email address on click.appcast.io. 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

as a result of your disability. You can request reasonable accommodations by sending an email to View email address on click.appcast.io. #LI-DNI 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 $90,000—$100,000 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.