Sr. 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 research and developing new best estimate assumptions. A key aspect of this position is to work closely with other team members as the team analyses experience data to understand the drivers for SCORs claims. 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 predictive models to assist in understanding our data and claims experience.

• Analyze emerging mortality persistency and other experience required to meet key strategic and organizational needs
• Analyze product underwriting or other company information for any influences on mortality from a historical or prospective perspective
• Help recommend assumptions for use in pricing and best estimate liability modeling
• Build modify and/or implement models for estimating/forecasting mortality and lapses.
• Optimize processes and tools to enhance procedures and approaches
• Perform regular inspection and maintenance of data supporting these studies
• Maintain a procedure for ensuring the accuracy of studies and summaries used in analysis
• Create and maintain SQL code for performing mortality and lapse studies on seriatim policy listings
• Create user-friendly extracts from mortality and lapse studies
• Other tasks as needed to accomplish the goals of the Experience Analysis department
• Duties in support of other actuarial functions of the company as required

• Bachelors degree in Actuarial Science Mathematics Statistics Data Analytics Finance or related area.
• Minimum of two 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

Relocation assistance within the U.S. is available for this position. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Hybrid Work Policy: SCOR is committed to an in-office culture where people can collaborate exchange ideas and establish stronger working relationships while ll providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.

PayRangeforrolesperformed in NC or KS: $109500 - $134000

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