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Humana Associate Actuary - Data Science in Indianapolis, Indiana

Description

The Associate Actuary, General provides actuarial support across a broad range of actuarial and business needs for specific product lines. The Associate Actuary, General 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, General may be responsible for any combination of valuation, pricing, analytics, forecasting, risk, compliance, and operations. 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.

Key Responsibilities

  • Wellness Pricing and Product strategy

  • Manage the Financial Reserves Application for Go365 Wellness Rewards program

  • Quantify impact of Go365 products on member health and well-being, and identify areas to improve outcomes

  • Partner with actuarial, clinical, finance, marketing, and operations to improve Wellness product strategy, and health and workplace productivity outcomes.

  • Build a wide variety of models to customize the rewards experience, categorize member behavior, improve physiological age predictability and create many other health related projections that drive key product and pricing strategy

Required Qualifications

  • Bachelor's Degree

  • Associate of Society of Actuaries (ASA) designation

  • Meets eligibility requirements for Humana's Actuarial Professional Development Program (APDP)

  • MAAA

  • Strong communication

  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences

  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

  • Experience working with analytical technologies, applications and languages such as Python, R, SAS, SQL, STATA

  • Experience with machine learning, NLP, text analytics or similar advanced data science capabilities

  • Experience in creating reports, projections, models, and presentations to support business

Preferred Qualifications

  • Master’s degree – Computer Science, Mathematics, Statistics, Engineering, or related field

  • 5+ years’ experience in Actuarial Science, Data Science in a health or loyalty rewards related field

  • Demonstrable expertise in Python or R, SQL, and SAS.

  • Experience with Pricing and Reserve applications in healthcare or loyalty rewards program, causal inference, or time-series analysis.

  • Experience designing and building reproducible code for model training, evaluation, and interpretation

Additional Information

Scheduled Weekly Hours

40

About Us

Mission: At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms –when and where they need it. Our employees are at the heart of making this happen and that’s why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.

Equal Opportunity Employer

It is our policy to recruit, hire, train, and promote people without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or veteran status, except where age, sex, or physical status is a bona fide occupational qualification. View the EEO is the Law poster.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact mailboxtasrecruit@humana.com for assistance.

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