Bachelor's or master's degree in computer science, data science, statistics, or related quantitative fields from a top university
3-5 years of experience as a data engineer or data scientist
Strong programming skills in Python and SQL
Knowledge of database design, operation, and data structures
Experience in developing and maintaining software and data infrastructure
Excellent analytical, organizational, and communication skills
Proactive, detail-oriented, and deadline-driven
Responsibilities
Own AI-assisted data reconciliation system and ETL processes
Manage complex data projects in collaboration with the enterprise data engineering team
Develop new data pipelines and validation tools using AI
Build AI-native applications to address data challenges
Conduct ad hoc data analysis as needed
Potentially create advanced machine learning models leveraging big data and high-performance computing
Benefits
Opportunity to work on diverse projects aligned with personal goals
Collaboration with various teams across the enterprise
Access to cutting-edge AI tools and technologies
Involvement in enhancing company-wide efficiency
Potential for professional growth within a rapidly expanding team
Full Job Description
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
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.
