Job Description

Saenger Associates is seeking an entrepreneurial minded Senior Actuary/Principal with deep expertise in Medicaid, actuarial theory, and affordable care act (ACA) for our client. The ideal candidate will have a strong business development background and, ideally, an existing client base to grow with our client. This is an opportunity to join a well-established firm with a 20+ year reputation in actuarial consulting while benefiting from a highly skilled support system.

Responsibilities -

• Lead and oversee Medicaid actuarial projects, including rate setting, risk adjustment, and financial modeling.
• Drive business development efforts, securing new engagements and expanding relationships with existing clients.
• Leverage your industry network to bring new opportunities to our client and contribute to revenue growth.
• Mentor and develop junior actuaries, ensuring high-quality deliverables and adherence to actuarial best practices.
• Collaborate with regulatory agencies and clients on state and federal Medicaid initiatives.
• Utilize our client's robust actuarial models and data analytics tools to deliver superior client solutions.

Qualifications -

Fellow of the Society of Actuaries (FSA) or Associate (ASA) with significant experience. 10+ years of actuarial experience with a focus on Medicaid and healthcare consulting. Proven business development experience, with a history of securing and managing client relationships. Strong understanding of actuarial principles, risk adjustment, and payment models. Experience working with state Medicaid agencies, managed care organizations (MCOs), and CMS. Excellent leadership, communication, and project management skills. Background in mathematics, actuarial science, statistics, computer science, or related fields.

Preferred Skills -

Existing book of business or strong industry relationships that can generate new opportunities. Experience with alternative payment models, value-based care, and actuarial certifications. Knowledge of data analytics and predictive modeling techniques.

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