FIS

Actuary Modeler

In short

This role develops and enhances actuarial code within the US liability libraries of FIS's Prophet actuarial modeling platform, covering life, annuity and health insurance products. The employer is FIS, a fintech company, and the team is the US Actuarial Library group supporting actuarial teams and stakeholders across the US insurance industry. It requires a quantitative bachelor's degree, at least 5 years of life insurance or actuarial consulting experience, an SOA Associate/Fellow or MAAA credential, and at least 5 years of Prophet or equivalent actuarial modeling platform experience, along with knowledge of US Statutory, GAAP (LDTI), tax reserve and asset/liability management requirements.

About the Role
As a US Actuarial Modeler, you will join our US Actuarial Library team and support the continued enhancement of the US actuarial libraries within the FIS Insurance Risk Suite (Prophet) solution. You will help enhance Prophet's modeling capabilities to address evolving customer needs, insurance products and regulatory requirements across the US insurance industry. You will work with actuarial teams and other stakeholders to deliver reliable modeling solutions that help insurers and reinsurers effectively manage risk.
What You Will Be Doing
•Develop and enhance actuarial code within the US liability libraries, supporting life, annuity and health insurance products.
•Analyze and solve complex actuarial modeling challenges with a high degree of autonomy.
•Review actuarial code developed by peers to ensure accuracy, quality and appropriateness.
•Ensure actuarial product deliverables are accurate, well documented and meet customer and business requirements.
•Partner with other actuarial teams to develop and deliver holistic modeling solutions.
•Support enhancements to Prophet modeling capabilities in response to insurance product, regulatory and reporting developments.
•Communicate effectively with internal stakeholders and external partners, including clients and vendors.
Required Qualifications
•Bachelor's degree in Mathematics, Actuarial Science or another quantitative or science-based discipline.
•At least 5 years of experience working within a life insurance organization or actuarial consulting environment.
•Associate or Fellow of the Society of Actuaries (SOA), or Member of the American Academy of Actuaries (MAAA).
•At least 5 years of experience using Prophet, or demonstrably equivalent experience with actuarial modeling platforms, including involvement in key business or modeling projects.
•Strong knowledge of the US insurance industry and applicable regulatory and financial reporting frameworks.
•Knowledge of US Statutory pre-PBR and PBR requirements, US GAAP pre-LDTI and LDTI requirements, US Tax reserves, and asset/liability management or cash flow testing.
•Strong analytical and problem-solving skills with the ability to evaluate complex actuarial modeling requirements.
•Proficiency in Microsoft Excel, Word and PowerPoint.
Preferred Qualifications
•Familiarity with the US actuarial libraries supplied with Prophet, preferably the US 360 libraries.
•Experience with advanced Prophet modeling techniques, including new business processing, calculation looping, rebasing, goal seeking, extended formulas, nested structures, modules, and dynamic or stochastic modeling.
•Understanding of potential model performance bottlenecks and approaches for optimizing model performance.
•Technical knowledge of programming and systems development.
•Knowledge of cloud infrastructure and technology.
What We Offer You
•Opportunities to make an impact in fintech
•Personal and professional learning
•Inclusive, diverse work environment
•Resources to give back to your community
•Competitive salary and benefits
The pay range for this full-time position is $101,500.00 - $172,550.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay.

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