Underwriting Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Gain a comprehensive understanding of all data sources, fields, and relationships related to Underwriting and Rebate Administration, including historical claims, Medi-Span tables, NCPDP tables, and Capital Rx’s Book of Business data to analyze trends, identify patterns, and perform complex data analyses that support Underwriting, Rebate Administration, and Sales objectives.

• Explore new data sources to construct and maintain data pipelines that clean, transform, and aggregate diverse data sets.

• Employ agile software development practices to create, sustain, and enhance back-end systems for data extraction, pricing methods, and analytic tools to boost the department’s technical capabilities.

• Design models for front-end views and back-end data sources to provide a holistic view of the user experience and analytic pipelines within the system, facilitating robust data analysis.

• Diagnose and resolve data or process issues by troubleshooting and customizing infrastructure code using SQL, R, and Python.

• Collaborate closely with our Underwriting and Clinical teams to develop intricate algorithms that yield valuable insights from our data.

• Aid in the analysis and creation of new models and front-end tools designed for predictive analytics and addressing inquiries for financial modeling and reporting.

• Partner with various teams across the organization on data sources and analytic methodologies to support Underwriting, Rebate Administration, and company goals.

• Deliver standard and ad-hoc analytics to assist the Underwriting and Rebate Administration teams in successfully completing bid opportunities and managing rebate payments.

⛳️ Requirements

• Bachelor’s degree (or equivalent) in Mathematics, Statistics, Economics, Computer Science, or IT.

• Over 1 year of experience with Python, SQL, and data visualization/exploration tools; experience with R is highly advantageous.

• More than 1 year of demonstrated experience in data analysis, including financial analysis, actuarial services, accounting, pricing, and underwriting.

• Familiarity with the AWS ecosystem, particularly Redshift and RDS.

• Experience in creating or maintaining ETL processes.

• Strong technical expertise in software engineering and programming languages.

• Excellent numerical, analytical, and problem-solving abilities.

• Proven history of leading cross-functional projects, achieving high performance, meeting deadlines, and delivering results in a fast-paced environment.

• Capability to manage multiple complex projects at once.

• Outstanding written and verbal communication skills, especially in conveying technical concepts to non-technical business leaders.

• Highly adaptable, exceptionally organized, and capable of easily shifting priorities.

• Strong attention to detail and a commitment to producing high-quality work.

• Familiarity with pharmaceutical claims is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Supportive and inclusive work environment.