Underwriting Data Engineer

Location: Hybrid (Local to NYC area)

Position Summary:

The Underwriting Data Engineer organizes and analyzes raw data, builds data pipelines, and develops analytical programs & tools – using SQL, R, Python, etc. as appropriate – to enhance the analytic capability and reliability of the Underwriting and Sales teams.

Position Responsibilities:

• Thoroughly understand all Underwriting data sources, fields, and relationships, including historical claims, Medi-Span tables, NCPDP tables, and Capital Rx’s Book of Business data to interpret trends, identify patterns, and conduct complex data analyses in support of Underwriting and Sales business goals
• Investigate new data sources for the purpose of building & maintaining data pipelines to clean, transform, and aggregate disparate data
• Use agile software development to create, maintain, and improve Underwriting’s back-end systems for data extracts, pricing processes, and analytic tools to advance the department’s technical capabilities
• Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
• Work closely with our Underwriting and Clinical teams to help build complex algorithms that provide useful insights into our data
• Assist in the analysis and development of new models and front-end tools that can be used to make predictions and answer questions for financial modeling & reporting
• Collaborate with various teams across the company on data sources and analytic methodology in support of Underwriting and company objectives
• Provide standard and ad-hoc analytics to support the Underwriting team for the successful completion of bid opportunities
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance

Required Qualifications:

• Undergraduate bachelor’s degree (or equivalent) in Mathematics, Statistics, Economics, Computer Science, or IT
• At least 1 year of experience with Python, SQL, and data visualization/exploration tools; R experience is a major plus
• At least 1 year of proven experience in data analysis, such as financial analysis, actuarial services, accounting, pricing & underwriting
• Familiarity with the AWS ecosystem, specifically Redshift and RDS
• Experience in building or maintaining ETL processes
• Exceptional technical knowledge in software engineering and programming languages
• Excellent numerical, analytical, and problem-solving skills
• Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables in a time-constrained environment
• Ability to balance multiple complex projects simultaneously
• Exceptional written and verbal communication skills, especially for explaining technical concepts to nontechnical business leaders
• Extremely flexible, highly organized, and able to shift priorities easily
• Attention to detail & commitment to delivering high quality work product
• Knowledge of pharmaceutical claims is a plus
• Knowledge of and passion for improving the health care industry a plus

Base Salary: $90,000 - $105,000

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

About Capital Rx

Capital Rx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, Capital Rx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi®, the company’s cloud-native enterprise health platform. Judi