About The Position

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 department’s 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 company’s 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 SCOR’s 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.

Requirements

  • Experience in actuarial analysis.
  • Ability to evaluate data from life reinsurance customers and internal company data.
  • Skills in analyzing mortality and/or lapse experience.
  • Experience in research and developing best estimate assumptions.
  • Ability to work closely with team members.
  • Strong communication skills to convey findings to stakeholders.
  • Experience with predictive modeling is a plus.

Nice To Haves

  • Experience in building/modifying/implementing predictive models.

Responsibilities

  • Produce experience studies and analysis using internal and external data.
  • Identify and share key findings and insights about claims and persistency experience.
  • Develop updates to best estimate assumptions or support other organizational needs.
  • Evaluate data from life reinsurance customers and the company's own data.
  • Analyze mortality and/or lapse experience for use in research and developing new best estimate assumptions.
  • Work closely with other team members to analyze experience data and understand drivers for SCOR’s claims.
  • Communicate findings to key company stakeholders.
  • Assist in building/modifying/implementing predictive models to understand data and claims experience.
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