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.
Why This Role?
This is a unique opportunity to work at the intersection of actuarial science, insurance product design, and modern engineering practices. In this role, you will help shape how complex insurance products are configured, validated, and delivered at scale—combining analytical rigor with automation, AI, and system design.
If you enjoy solving complex problems, translating detailed product logic into real-world system behavior, and working across disciplines to improve quality and speed, this role offers the chance to make visible, meaningful impact. It’s an opportunity to contribute to modernization while building deep expertise in insurance product delivery and configuration.
QUALIFICATIONS & SKILLS:
Required:
- Bachelor's degree in Computer Science or other technical field or equivalent work experience
- 5+ years applicable experience
- Demonstrated leadership on mid-large scale projects
Preferred:
- Insurance and Financial Services Experience: Strong understanding of Life, Health, or Annuity product mechanics, including familiarity with policy administration platforms and processes.
- Education and Domain Knowledge: Degree or coursework in Engineering, Actuarial Science, Applied Mathematics, Data Science, or a related field.
- Technical Skills: Experience with SQL, Python, SFTP, APIs, and product configuration or business rules engines.
- Automation and Delivery Practices: Familiarity with automated testing frameworks, validation approaches, and CI/CD practices that support repeatable, high-quality releases.
- Communication and Translation: Ability to translate actuarial concepts into system design and configuration, partnering effectively with technical, actuarial, and business stakeholders.
- AI Fluency: Practical experience using generative AI to accelerate doc