Support development, enhancement, and maintenance of the commercial medical and pharmacy benefit relativity model (AMEBA)
perform advanced data analysis, statistical modeling, and validation to ensure accuracy, reasonableness, and regulatory compliance of pricing outputs
Translate complex plan design features into actionable insights by assessing their impact on cost, utilization, and consumer behavior
Partner closely with cross-functional stakeholders
Drive continuous improvement through automation and process streamlining initiatives to enhance model efficiency and scalability
Communicate model methodology, results, and implications clearly to both technical and non-technical stakeholders

Requires a BA/BS
passed a minimum of four Society of Actuaries (SOA) actuarial exams
minimum of 3 years related experience
Strong actuarial and analytical foundation with experience in healthcare pricing, underwriting, or actuarial modeling (commercial medical and pharmacy preferred)
Advanced Excel proficiency required
experience with VBA or other automation techniques strongly preferred
Programming and data skills (e.g., SAS, SQL, R, Python or other tools)
experience in data extraction, manipulation, and large dataset analysis
Demonstrated ability to perform rigorous data validation and apply sound actuarial judgment
Knowledge of health plan design, benefit structures, and their impact on utilization and cost trends
Strong communication and collaboration skills

Actuarial Analyst III

Key skills