Current Opening

Associate Stop Loss Underwriter

The Associate Stop Loss Underwriter is responsible for performing general underwriting tasks for both new and renewal business, as well as analyzing and evaluating client healthcare data for usability, ensuring its successful mapping through our pipeline, and understanding its representation on our platforms.  This is an on-site position (not remote).

Responsibilities and Duties

Key Responsibilities include:

  • Engage with various analytics platforms to extract, analyze, validate, and present data.
  • Ensure the quality and accuracy of healthcare claims and eligibility data.
  • Maintain data quality software tools to analyze data, detect errors and report anomalies.
  • Interpret data to ensure accurate data deliver to consultants and clients.
  • Engage with consultants and clients to answer questions and deliver data in a manner that is understandable.
  • Analyze risk factors for new business and annual renewals in conformance with established underwriting standards, policies, and practices.
  • Prepare a variety of reports and provide rationale and support to the Corporate Benefits consultant team.
  • Calculate budget rates and evaluate a variety of contractual stop loss provisions.
  • Analyze individual member risk.
  • Use predictive modeling to estimate annual expected claims. 

 Qualifications and Skills

Minimum of an associate degree in data science/analytics, actuarial science, accounting, finance, or business and two to three years of related experience and/or training in an underwriting role; or equivalent combination of education and experience. Tech savvy with data visualization experience. Above average proficiency and knowledge of Word, Excel, Outlook, internet navigation and a variety of database platforms required. IT-related experience preferred with strong problem-solving skills. Excellent problem solving and critical thinking skills. High level of curiosity with ability to conduct and present self-directed research. Strong ability to analyze and visualize data. Employee benefits knowledge and self-funding a plus.