Senior Actuarial Analyst: ERNIE Rating Systems

CVS Health Corporation; United States; Remote; USD 65,000 - 159,000; Full time

Job summary

CVS Health Corporation is seeking a Sr. Actuarial Analyst to manage end-to-end rating system enhancements for the ERNIE engine and support dental rating as needed.

You will coordinate with business partners, document technical steps, and guide changes through testing, documentation, and rollout. Qualifications include passing 2 actuarial exams toward ASA, 2+ years of actuarial experience, strong analytical skills, and the ability to analyze data and diagnose root causes within complex systems.

Qualifications

• 2 actuarial exams passed and pursuing ASA designation.
• 2+ years actuarial work experience.
• Strong analytical and problem-solving skills with experience working with complex data and technical systems.
• Ability to analyze data, investigate issues, and determine root causes in a business or systems environment.

Responsibilities

• Defining specifications and documentation for rating methodology changes.
• Testing and sign-off for ERNIE system enhancements.
• Creating exhibits to demonstrate rating method results for regulatory/underwriting inquiries.
• Investigating historical pricing practices across national commercial large group business.
• Assessing claim impact of benefit relativity changes.
• Implementation of commercial actuarial rate reviews in ERNIE.
• Tier 2 technical support for underwriting/actuarial rating issues.
• Process improvement via SQL, Excel/VBA and AI tools.

Education

Bachelor’s Degree

Tools

SQL

Job description

CVS Health Corporation is seeking a Sr. Actuarial Analyst to manage end-to-end rating system enhancements for the ERNIE engine and support dental rating as needed.

You will coordinate with business partners, document technical steps, and guide changes through testing, documentation, and rollout. Qualifications include passing 2 actuarial exams toward ASA, 2+ years of actuarial experience, strong analytical skills, and the ability to analyze data and diagnose root causes within complex systems.