Senior Actuary - Predictive Analytics

$75,400 - $182,549/Yr

CVS Health - Atlanta, GA

Full-time - Senior

Atlanta, GA

Health and Personal Care Retailers

About the position

The Senior Actuary - Predictive Analytics role at CVS Health involves leading the predictive analytics team within the Aetna Commercial Actuarial Department. The position focuses on developing and executing predictive analytic strategies to enhance risk management and claims management, utilizing machine learning and statistical modeling techniques to drive data-driven decisions and improve financial and health outcomes. The role requires collaboration across various departments to integrate advanced analytics into business processes, ensuring alignment with organizational growth and profitability goals.

Responsibilities

• Develop and execute predictive analytic strategies aligned with the company's business goals, particularly in risk management and claims management.
• Stay informed on industry trends, emerging technologies, and regulatory requirements to ensure competitiveness and compliance.
• Influence organization strategy through data-driven insights and predictive modeling.
• Continuously monitor, evaluate, and improve methodologies, processes, and tools to maintain a cutting-edge analytics advantage.
• Lead and guide teams in building, testing, and deploying predictive models for health insurance aspects such as claims prediction and underwriting.
• Apply machine learning, AI, and statistical modeling techniques to extract actionable insights from large healthcare datasets.
• Ensure high model accuracy, stability, and performance to support the business.
• Work closely with actuarial, data science, underwriting, and claims teams to identify opportunities for predictive analytics.
• Partner with IT and data engineering teams to optimize data pipelines and ensure robust data infrastructure.
• Serve as a trusted advisor for senior leadership and stakeholders, presenting insights and recommendations clearly.

Requirements

• 5+ years of related actuarial work experience
• ASA (Associate of the Society of Actuaries) or FSA (Fellow of the Society of Actuaries)
• Prior healthcare experience
• Strong understanding of commercial health insurance, risk adjustment, and underwriting
• Experience in programming languages such as Python, R, or SQL.

Nice-to-haves

• Proven knowledge in machine learning, AI, and statistical modeling techniques applied to healthcare and insurance data.
• Experience with cloud computing environments, such as AWS, Azure, or Google Cloud, for model deployment.
• Excellent communication and presentation skills with the ability to explain complex technical concepts to AVP and VP level leaders.

Benefits

• Full range of medical, dental, and vision benefits
• 401(k) retirement savings plan
• Employee Stock Purchase Plan
• Fully-paid term life insurance
• Short-term and long-term disability benefits
• Well-being programs
• Education assistance
• Free development courses
• CVS store discount
• Paid Time Off (PTO) or vacation pay
• Paid holidays throughout the calendar year