Associate Actuary

Description

This role will support actuarial analytics for a value-based contract with an external customer that involves services performed in the home for Medicare Advantage members.

The Associate Actuary, Analytics/Forecasting analyzes and forecasts financial, economic, and other data to provide accurate and timely information for strategic and operational decisions. Establishes metrics, provides data analyses, and works directly to support business intelligence. Evaluates industry, economic, financial, and market trends to forecast the organization's short, medium and long-term financial and competitive position. The Associate Actuary, Analytics/Forecasting work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Associate Actuary, Analytics/Forecasting ensures data integrity by developing and executing necessary processes and controls around the flow of data. Collaborates with stakeholders to understand business needs/issues, troubleshoots problems, conducts root cause analysis, and develops cost effective resolutions for data anomalies. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Required Qualifications

• Bachelor's Degree or equivalent experience
• Associate of Society of Actuaries (ASA) designation
• Meets eligibility requirements for Humana's Actuarial Professional Development Program (APDP)
• MAAA
• Strong communication skills
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Prior actuarial experience in health insurance
  Some level of experience with coding (SQL, SAS, R, Python, and/or VBA)

Preferred Qualifications

• Experience working with Medicare Advantage
• Intermediate knowledge of SAS

Additional Information

Scheduled Weekly Hours

40