Actuarial Analyst Experience Analysis

This position is part of the US Experience Analysis department which produces experience studies and analysis using internal and external data. A key goal of the departments work is to identify and share key findings and insights about claims and persistency experience and developing updates to best estimate assumptions or support other organizational needs as needed.

This position exists to help evaluate data from life reinsurance customers as well as from the companys own data in order to analyze mortality and/or lapse experience for use in developing new best estimate assumptions. These findings are then communicated to key company stakeholders so that the learnings can be reflected in business decisions and future assumptions. The position may also assist in building/modifying/implementing analytical models to assist in understanding our data and claims experience.

• Analyze emerging mortality persistency and other experience
• Analyze product underwriting or other company information for any influences on mortality from a historical or prospective perspective
• Perform regular inspection and maintenance of data supporting experience studies
• Maintain a procedure for ensuring the accuracy of studies and summaries used in analysis
• Assist in Building modifying and/or implementing models for estimating mortality and lapses.
• Assist in Optimizing processes and tools to enhance procedures and approaches
• Create user-friendly extracts from mortality and lapse studies
• Other tasks as needed to accomplish the goals of the Experience Analysis department
• Participate in the Actuarial Student Rotation program
• Duties in support of other actuarial functions of the company as required

• Bachelors degree in Actuarial Science Mathematics Statistics Data Analytics Finance Economics or related area.
• Minimum of one SOA exams passed
• High level of computer literacy with strong skills in MS Office VBA and Tableau
• Experience with large biometric data using SQL Server Management Studio R or Python.
• Solid mathematical and actuarial analysis skills with strong problem-solving ability
• Excellent verbal and written communication skills
• Strong collaboration skills Highly motivated/self-starter
• Must be able to work effectively as part of a team and independently with readiness to travel on occasion
• Regular attendance and ability to work extended hours as necessary to meet deadlines
• Further regular progress towards the Educational Requirements for membership in the Society of Actuaries will be expected