Assoc. Actuary, Analytics/Forecast
About The Position
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. 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. The Associate Actuary will work primarily in Databricks to support the development of three new Net Present Valuation models for Medicare Supplement, Dental & Vision, and Medicaid. The role will assist with building and enhancing models, collaborating with cross-functional partners, identifying model issues, and proposing practical solutions to improve model performance and accuracy.
Requirements
- Bachelor's Degree
- Associate of Society of Actuaries (ASA) designation
- Meets 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
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
- Sponsorship is not available for this role
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 (NPV) 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
Benefits
- medical
- dental
- vision
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
