Munich RE

Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients.

Munich RE Munich, Germany
13/11/2019
Full time
The Integrated Analytics team is part of the Munich Re Life and Health department based in Munich.   It is responsible for coordinating data and system development, data integration, and data analytics topics for more than 50 markets, 500+ cedents, and 1,500+ active reinsurance contracts.   A key function is conducting client and market experience studies by applying advanced statistical methods.   We consult internal and external clients through specific projects, individual client workshops, and client seminars.   We apply and further develop statistical data analytics methods, and enhance and maintain tools for the support of our analyzes.   We are looking for a highly qualified and motivated individual to join our team as an actuarial data scientist in the field of actuarial data analytics. Using modern statistical methods for the purpose of actuarial analysis and predictive analytics in life and health (re) insurance, in particular GLMs and decision-tree ensembles Conducting experience studies and other analyzes along the whole (re) insurance value chain Identifying future trends in big data and analytics that are relevant for actuarial analytics in life and health insurance, and Representing the team and our key topics vis-à-vis internal and external stakeholders, for example through presentations at client events and training seminars Driving cross-functional actuarial analysis and analytics initiatives (Client Management, Best Estimates, Pricing, Business Development, Medical, Underwriting, Claims) Master's degree in mathematics, statistics, or actuarial science, or comparable (quantitative) studies;   doctoral thesis would be an advantage Strong theoretical knowledge of modern statistical and machine-learning methods Proven practical multi-year experience with data analytics methods, including multivariate methods such as GLMs and decision-tree ensembles Strong programming skills - excellent knowledge of statistical programming in R;   Further programming skills (SAS, Python, SQL, Visual Basic, etc.) would be an advantage Highly dedicated, motivated, and results driven Strong presentation, consulting, and project management skills Professional experience in actuarial department of a life or health (re) insurer is desirable Actuary or similar qualification desirable Strong command of spoken and written English and German Munich Re is one of the world's leading reinsurance companies with more than 50 locations around the globe.   Tomorrow, whether that be climate change, major construction projects, gene technology or space travel.   Tailor-made solutions and expertly advise our clients.   If you want to help shape the future as part of one of our teams, we look forward to hearing from you.   Please click on the link to apply online. Munich Reinsurance Company Silke Fell Human Resources Königinstraße 107 80802 Munich GERMANY