University of Pittsburgh Medical Center-posted about 1 year ago
$58,656 - $101,546/Yr
Full-time • Mid Level
Hybrid • Pittsburgh, PA
10,001+ employees
Hospitals

The Actuarial Analyst position at UPMC focuses on Value-Based Contracting, utilizing mathematical, statistical, and analytical skills to enhance the financial performance of the health plan. This role involves data analysis, model development, and collaboration with various departments to support decision-making processes. The position is hybrid, requiring in-office presence twice a week, and is ideal for candidates looking to grow their actuarial expertise in a dynamic healthcare environment.

  • Document methods, procedures and results.
  • Conduct medical cost and utilization trend analysis.
  • Assist senior actuarial positions in developing mathematical models to predict the impact of proposed changes.
  • Perform completion factors using claim lag analysis models.
  • Present results of analyses and recommendations to management.
  • Develop claim reserves (IBNR).
  • Forecast financial outcomes.
  • Provide analytical support for rate development and filings.
  • Assist in the preparation of State and Federal filings.
  • Conduct ad hoc data analysis for all departments within the company.
  • Bachelor's degree in mathematics, statistics, actuarial science, economics or related field.
  • Some experience in statistical analysis or actuarial work; preferred.
  • 1 or more actuarial examinations passed.
  • Actively pursuing SOA certification.
  • Excellent problem-solving and analytical skills.
  • Good oral and written communication skills.
  • Strong PC skills.
  • Data retrieval skills and relational database experience.
  • Ability to work independently.
  • Willingness to live in Pittsburgh, PA.
  • Prior working actuarial experience.
  • Desire to learn and expand skillset as it relates to Value-Based Contracting.
  • Experience in pricing, reserving, trend/health economics, provider network analysis, risk adjustment.
  • Proficient to expert in SQL and Excel.
  • Health insurance
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