Actuary – National Advantage Program
Company | CVS Health |
---|---|
Location | Chicago, IL, USA, Ambler, PA, USA, Hartford, CT, USA, Atlanta, GA, USA |
Salary | $92700 – $203940 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree along with 3+ years of experience in Finance, Actuarial, Underwriting and/or Medical Economics
- 3 or more years MS Office experience (Word, Excel, Access)
- Strong analytical skills
- Adaptable and self-motivated, with ability to manage own priorities to meet deadlines, and coordinate with manager/team members, as needed
- Excellent verbal and written communication skills, to establish strong working relationships and effectively share observations and recommendations
- Well organized and detail oriented, with ability to successfully manage projects to conclusion
Responsibilities
- Monitor detailed program results to identify changes and trends.
- Support monthly program reporting and accrual calculations. Identify and explain drivers of monthly program results to key constituents.
- Independently respond to questions and provide ad hoc reporting, as needed. Assist with quantifying impact of customer level plan design changes.
- Assist underwriters with NAP cap reconciliations, to ensure these are completed accurately and in a timely fashion.
- Develop and maintain queries using various tools to support program reporting and analysis.
- Become acquainted with and utilize multiple data sources, to provide most accurate and relevant program information.
- Participate in the broader NAP team and contribute to a positive and collaborative team environment.
- Contribute to strategic program management by understanding, analyzing and explaining the impact of proposed program changes.
- Collaborate with cross-functional business partners (e.g., Network, Operations, Finance, Underwriting, Actuarial) to achieve program objectives.
Preferred Qualifications
- Knowledge and experience working in the healthcare industry
- prior actuarial exams passed
- Ability to work with large and detailed data sets; e.g., SAS, SQL, Python, Google Cloud/Big Query