Associate, Data Engineer
Data engineer on KKR's Insurance Data Science team (reporting to the Chief Risk Officer), owning AI-assisted data reconciliation and ETL, building data pipelines, validation tools, and AI-native applications, with potential ML modeling for insurance pricing, risk, and forecasting. Core stack: Python, SQL, and agentic AI tools like Claude Code.
- Compensation
- $145K–$165K / yr
- Location
- New York, New York, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or master's degree from top universities in computer science, data science, statistics, or 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 substitutes
- Extraordinary analytical, organizational, and written/verbal communication skills
- Pro-active, detail oriented, and deadline driven
Nice to have
- Track record of building and deploying agentic AI applications into production
- Knowledge in high performance computing and big-data tools
- Insurance industry work experience, especially with annuities
Full description
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