Senior Actuarial Modelling Analyst
About Swiss Re
Swiss Re Reinsurance provides clients and brokers with reinsurance products, insurance-based capital market instruments and risk management services.
Reinsurance operates globally through two segments Property & Casualty and Life & Health. Reinsurance revenues totalled USD 29 billion in 2016.
About the Role
An exciting opportunity for a skilled actuarial professional to join the MCoE team has become available.
As a qualified / nearly qualified actuary with 4+ years of life insurance / reinsurance experience, the successful candidate will be able to demonstrate sound technical actuarial knowledge and experience using actuarial models, specifically cashflow projection models.
This includes the ability to analyze and assess the validity of model outputs and to document and communicate findings effectively to stakeholders.
Experience testing actuarial models is beneficial but not required.
The MoSes actuarial models within the MCoE's remit are used by teams responsible for financial reporting, pricing and business steering across the UK, Continental Europe, Asia, Latin America, Africa, and Australia.
This role will offer a great opportunity to learn about Life and Health reinsurance business across all of these markets.
Knowledge of the insurance business in these markets is beneficial but not required.
About the Team
The MoSes Modelling Center of Excellence (MCoE) is a large global team, responsible for creating and maintaining the Moses actuarial models across 7 Swiss Re Life and Health Reinsurance locations.
With a current team size of 15 based across 3 locations, the MCoE's remit spans from understanding requirements from our regional stakeholders, through to the development, testing, quality assurance, maintenance and on-going support of MoSes
The MCoE in the wider context of Swiss Re Reinsurance is part of the Life & Health Business Management division, which is responsible for the inforce management of Swiss Re's global L&H Reinsurance business.
The successful candidate will be able to :