Insurance company in the Midwest has a need for an Associate Actuary who contributes to actuarial assumption development as well as supporting the proper risk management and audit controls of the assumption development process. The incumbent is responsible for performing and coordinating the successful completion of various actuarial projects relating to analyzing, summarizing, and reporting of complex and detailed financial information to achieve Assumptions team objectives.

RESPONSIBILITIES:
Reviews and validates predictive models that are used to perform policyholder behavior experience studies
Leads the statistical analysis and actuarial research to draw business inferences, and presents analysis / recommendations that contribute to predictive model enhancement.
Contributes to and peer reviews the development of policyholder behavior actuarial assumptions from the experience study results
Perform and review experience studies and generate experience reports for financial reporting, cash flow testing and other applicable actuarial uses.
Reviews the creation of user-friendly, easy-to-understand actuarial management reports to illustrate the cause and effect relationships through experience data visualizations, dashboards and/or reports.
Ensures the completeness and accuracy of the monthly / quarterly monitoring reports on the key policyholder behavior assumptions
Ensures other assumption-related reporting deliverables on a monthly or quarterly cycle
Reviews the experience data collection and submission for LIMRA and Ruark industry studies on FIA policyholder behaviors
Assists in the preparation of materials for the Assumption Review Committee.
Contributes to department-wide actuarial process improvement efforts
Supports the development of a repeatable actuarial assumption development /governance process with proper controls and documentation
Completes the internal and external audit deliverables
Performs experience analysis and management reporting regarding in-force policy and product-related data and reinsurance transactions.
Performs ad hoc analyses

EXPERIENCE:
3+ years of related actuarial experience, or equivalent combination of education and/or experience.
ASA
General knowledge of the life and annuity industry and products
Experience using SQL and a comprehensive understanding of relational databases is required.
Advanced knowledge of R, Python or another statistical software is required.
Ability to implement findings from predictive modeling analyses.
Knowledge and systems aptitude with actuarial software (MG-ALFA or similar)