Associate, Data Engineer
Stage 1 Financial
$145,000 - $165,000 / year
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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
- Pro-active, detail oriented, and deadline driven
- Tracking record of building and deploying agentic AI application into production is plus
- Knowledge in high performance computing and big-data tools are plus
- Insurance industry work experience, especially with annuities is plus
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.
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 Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
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 https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.
Benefits
- stock options
- bonus
About this role
Stage 1 Financial's Insurance Data Science team is building AI-powered systems to support pricing, risk management, and financial forecasting across the organization. As an Associate Data Engineer, you'd own the AI-assisted data reconciliation system and ETL pipeline, work with the enterprise data engineering team on complex data projects, and develop new pipelines and validation tools using AI. The role also involves building AI-native applications to solve data problems, performing ad hoc analysis, and potentially developing machine learning models on large-scale datasets.
You should have a bachelor's or master's degree in computer science, data science, statistics, or a related quantitative field, plus three to five years of industry experience as a data engineer or data scientist. The position requires strong Python and SQL skills, solid knowledge of database design and data structures, and the ability to develop and maintain data infrastructure using Claude Code or similar tools. Exceptional analytical and communication skills, attention to detail, and a track record of delivering on deadlines are essential.
Experience deploying agentic AI applications to production, familiarity with high-performance computing and big-data tools, and background in insurance (particularly annuities) would strengthen your candidacy. This is a full-time, in-office role in New York City with a base salary of $145,000 to $165,000, plus potential discretionary bonus.
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Pay for this role
$145,000 to $165,000 per year
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