This is a new position in Retirement Actuarial’s Valuation Modeling and Infrastructure Team. The individual will play a critical role in evaluating and designing Retirement Actuarial’s future state reporting and analytics infrastructure and business intelligence platform. This is a critical component of the organization’s broader goal of building a fully automated end-to-end valuation process.
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The individual will work closely with business group actuaries, partners in Corporate Actuarial as well as our Technology partners.
Primary Responsibilities:
•Support long term goal of a fully automated valuation system capable of satisfying growing demands for faster and more complex analysis.
•Collaborate with business group actuaries and business partners to create detailed business requirements for liability and output data warehouse and reporting facilities.
•Research, evaluate and recommend a long term business intelligence solution to integrate with the end-to-end valuation process, enabling timely, agile, intuitive and insightful analyses.
•Enhance and streamline existing analytics tools to support the analysis of asset adequacy testing, loss recognition testing and various capital frameworks and stress testing.
•Lead the analytics development and create new capabilities to better explain and visualize the complex dynamics of cash flow testing results.
Preferred location is Newark, NJ. Will consider Hartford, CT with some travel to Newark.
Qualifications
•Degree in Actuarial Science, mathematics, finance, computer science or other quantitative related field is preferred.
•Fellow of the Society of Actuaries designation (FSA) or near FSA preferred.
•Data Scientist/ Data Analytics background is a strong plus.
•Minimum of 3 years of actuarial modeling or related experience. 5 plus years overall actuarial experience.
•Knowledge of Retirement products, pricing, and asset/liability management is preferred.
•Highly motivated, conceptual thinker who is able to work effectively on a wide variety of assignments.
•Ability to quickly learn and apply quantitative modeling concepts, and effectively communicate findings to both actuarial and non-actuarial business partners.
•Experience in designing large scale database/data warehouse solutions. Strong proficiency in SQL Server or Oracle is desired.
•Experience with building web-based analytics solutions and proficiency with business intelligence and data visualization tools such as Tableau, Qlik, Oracle, Power BI.
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