Data Engineer

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.

POSITION OVERVIEW

The Insurance Data Science team reports through the Chief Risk Officer and uses AI and machine learning techniques to develop predictive models for policy-level transactions and human behavior. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and assist in forecasting and financial reporting. The group has a unique vantage point in nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. The successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above.

The team is heavily invested in developing agentic AI tools to solve company-wide problems and boost efficiency of all aspects of work.

RESPONSIBILITIES

• Owning AI-assisted data reconciliation system and ETL
• Manage complicated data projects partnered enterprise data engineering team
• Use AI tools to develop new data pipelines and validation tools
• Build AI-native applications to solve data problems
• Perform ad hoc data analysis
• Potentially building advanced machine learning models leverage big data and high-performance computing tools

QUALIFICATIONS

• Bachelor's or master's degree in top universities with concentrations in computer science, data science, statistics, or any other related quantitative fields
• 3-5 years of industry work experience as data engineer or data scientist
• Strong programming skills in Python and SQL with or without AI tools
• Strong knowledge in database design and operation, data structure
• Proficient in developing and maintaining software and data infrastructure using Claude Code or any other substitutes
• Extraordinary analytical, organizational, and communication (written and verbal) skills are required