Description:
We are looking to hire a Risk Modeling Services Manager to support an engagement with a Life & Annuity customer. This is a long term engagement that will likely take 2+ years to complete.
Position Overview:
-Demonstrates proven knowledge of and success in managerial roles involving model build and implementation, especially for Life and Annuity products.
-Demonstrates proven abilities with managing and performing as a team leader including leading teams to build, test and document models while leveraging and coordinating efforts across different valuation bases and product lines.
-Develop risk models using the Prophet US360 library and the modules for statutory and GAAP valuation
-Customize and implement non-standard product features and projection methodologies not included in standard Prophet libraries
-Implement industry-leading modeling, testing, coding and validation standards; this includes seriatim testing through regression analysis to assess and minimize unexplained differences in model output
-Utilize FIS Data Conversion System (DCS) and Prophet Enterprise (PE) to drive large scale automated reporting processes
-Work with large, complex data sets to build models and leverage data visualization tools to provide insights to clients
Additional Skills & Qualifications:
- Associateship of the Society of Actuaries or being in the process of pursuing the Fellowship of the Society of Actuaries is preferred.
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.