Support of analysis and assessment of life and health reinsurance portfolios for the purposes of risk management, experience study, planning and quotation using advanced analytic techniques; Internal and external research relating to pricing, products, underwriting, claims, and other areas related to life insurance, including evaluating and understanding emergent risks affecting life insurance industry; Providing practical and commercial data driven insights internally and externally; Leading large research projects and surveys; Creating presentations and developing training and presenting these internally and externally; Marketing activities, including giving presentations at conferences and writing articles
Requirements:
We are looking for top applicants that are qualified Actuaries with at least 10 years of experience in pricing and assumptions setting and associated research work. Applicants with experience in applying statistical and machine learning techniques in financial services or related business to solve problems in practical and implementable ways will be preferred
Text:
Senior Actuary - Research & Analytics Support of analysis and assessment of life and health reinsurance portfolios for the purposes of risk management, experience study, planning and quotation using advanced analytic techniques; Internal and external research relating to pricing, products, underwriting, claims, and other areas related to life insurance, including evaluating and understanding emergent risks affecting life insurance industry; Providing practical and commercial data driven insights internally and externally; Leading large research projects and surveys; Creating presentations and developing training and presenting these internally and externally; Marketing activities, including giving presentations at conferences and writing articles We are looking for top applicants that are qualified Actuaries with at least 10 years of experience in pricing and assumptions setting and associated research work. Applicants with experience in applying statistical and machine learning techniques in financial services or related business to solve problems in practical and implementable ways will be preferred
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