Associate Actuarial - Analytics/Forecasting

Humana•Work at Home - Kentucky, KY

8d•$106,900 - $147,000•Remote

About The Position

The Associate Actuary, Analytics/Forecasting analyzes and forecasts financial, economic, and other data to provide accurate, timely information for strategic and operational decisions. The role establishes metrics, delivers data analyses, supports business intelligence, and evaluates industry, economic, financial, and market trends to forecast the organization’s short-, medium-, and long-term financial and competitive position. Assignments involve moderately complex to complex issues requiring in-depth evaluation of variable factors. The role ensures data integrity by developing and executing processes and controls around data flow. It collaborates with stakeholders to understand business needs, troubleshoot problems, conduct root cause analysis, and develop cost-effective resolutions for data anomalies. The position begins to influence department strategy, makes decisions about technical approaches for project components, and exercises considerable latitude in determining objectives and approaches. Working primarily in Databricks, the Associate Actuary will support development of three new Net Present Valuation models for Medicare Supplement, Dental & Vision, and Medicaid. The position will help build and enhance models, collaborate with cross-functional partners, identify model issues, and propose practical solutions to improve model performance and accuracy. The role is remote, with occasional travel to Humana offices for training or meetings potentially required. Typical work hours are Monday through Friday, 8 a.m. to 5 p.m., with possible flexibility depending on business needs.

Requirements

Bachelor's degree.
Associate of Society of Actuaries (ASA) designation.
Meet eligibility requirements for Humana's Actuarial Professional Development Program (APDP).
Member of the American Academy of Actuaries (MAAA).
Strong written and verbal professional communication skills.
Passion for contributing to an organization focused on continuously improving consumer experiences.

Nice To Haves

Advanced experience using SQL or SAS to analyze, manage, and interpret complex data sets and models.
Strong model-building skills.
Familiarity with Python or Oracle.

Responsibilities

Analyze financial, economic, and market data to support forecasting and business decisions.
Develop and maintain metrics, reporting, and analytical models to support business intelligence.
Evaluate industry, economic, financial, and competitive trends affecting organizational performance.
Build, enhance, and support actuarial and forecasting models used in financial analysis.
Work primarily in Databricks to develop Net Present Valuation models for Medicare Supplement, Dental & Vision, and Medicaid.
Ensure data integrity by establishing and executing processes and controls around data flow and quality.
Investigate data anomalies, perform root cause analysis, and implement practical, cost-effective solutions.
Collaborate with cross-functional partners to understand business needs, resolve model issues, and improve outcomes.
Identify opportunities to improve model performance, accuracy, and efficiency.
Independently manage moderately complex to complex assignments and determine appropriate technical approaches.
Contribute analytical insight that helps influence departmental strategy and forecasting practices.