Jobs · Information Technology

Insurance Product Configuration Engineer

Thrivent · United States · 1 wk ago
RemoteRemoteInformation Technology$134k/yrFull-time

Duties & Responsibilities

  • Translate actuarial models, product specifications, and business rules into executable system logic within a product configuration environment.
  • Configure and support product behavior across Life, Health, and Annuity domains, including premium calculations, benefit structures, payout logic, and rating rules.
  • Validate complex calculations and product behavior, including interest, mortality, morbidity, present value, future value, and risk-based logic within the software environment.
  • Build and maintain automated validation and testing approaches that compare system outputs to expected results and support reliable, low-regression releases.
  • Use AI tools to improve speed and accuracy in rule interpretation, documentation, analysis, and configuration workflows.
  • Partner with actuaries, architects, engineers, and business stakeholders to deliver consistent, high-quality product behavior across connected systems.

Qualifications & Skills

  • Bachelor's degree in Computer Science or other technical field or equivalent work experience
  • 5+ years applicable experience
  • Strong understanding of Life, Health, or Annuity product mechanics, including familiarity with policy administration platforms and processes
  • Experience with SQL, Python, SFTP, APIs, and product configuration or business rules engines
  • Familiarity with automated testing frameworks, validation approaches, and CI/CD practices that support repeatable, high-quality releases
  • Ability to translate actuarial concepts into system design and configuration, partnering effectively with technical, actuarial, and business stakeholders
  • Practical experience using generative AI to accelerate documentation, analysis, rule interpretation, code assistance, and configuration workflows for complex business systems
  • Strong problem-solving skills with the ability to evaluate complex product logic, identify risks, and make sound decisions
  • Demonstrated leadership on mid-large scale projects

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