Underwriting Rules & Data Sr Specialist

Northwestern Mutual•Franklin, WI
•$70,320 - $121,320

About The Position

Supports the Future of Underwriting vision, primarily by executing rules within the UnderwriteMe rules engine. The role contributes to the development and ongoing maintenance of automated and auto-assisted decisioning rules, working with medical and lay subject matter experts to build rules and risk assessment capabilities. It also incorporates digital health data into risk selection rules and processes and supports implementation projects that enable the Future of Underwriting vision. The position performs quality and validation testing in the rules editor and provides targeted outputs for underwriting and underwriting support teams. Work spans financial, medical, and lay underwriting assessments, with an emphasis on efficiency, accuracy, and quality in support of policyowners and the Field.

Requirements

  • Bachelor’s degree in math, statistics, actuarial science, finance, accounting, business, or another related field.
  • At least 2 years of experience in progressively responsible roles in underwriting, data analysis, innovation, or claims.
  • Ability to build connections with people within and outside the organization and deliver results through others.
  • Strong organizational skills and experience with OneNote, Confluence, JIRA, and Power BI.
  • Proficiency in computer skills and use of various software packages.
  • Attention to detail, including identifying and correcting errors proactively and proofreading work for presentation, content, accuracy, and overall quality.

Nice To Haves

  • Underwriting experience.

Responsibilities

  • Contribute to developing and maintaining an automated and auto-assisted decisioning rules program.
  • Collaborate with medical and lay subject matter experts to build rules and risk assessment capabilities.
  • Perform quality testing and validation testing within the rules editor.
  • Incorporate digital health data, including pharmacy data, medical billing data, clinical lab results, and electronic medical records, into risk selection rules and processes.
  • Produce targeted outputs for underwriting and underwriting support teams across financial, medical, and lay underwriting assessments.
  • Support project work to enable and implement the Future of Underwriting vision.
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