Managing customer-focused, operational, and strategic projects in the area of advanced analytics and machine learning
Identifying RI / PI business opportunities and pain points that are suited for data-centric solutions
Representing the team and our key topics vis-à-vis internal and external stakeholders, for example through presentations at customer events
Preparing and conducting data analyses and evaluations, and developing advanced analytics solutions for our clients
Advising internal and external clients on advanced insurance analytics as well as conducting trainings seminars
Helping set up a Group-wide analytics community
Identifying future trends in advanced analytics and machine learning, based on academic research and exchange, to develop suggestions for improvements and new business opportunities
Publishing articles on statistical / analytical developments and their applications within the insurance industry
University degree in data science, statistics, stochastics, information technology, or an equivalent area of studies; doctoral thesis or scientific publications related to advanced analytics and / or machine learning is an advantage
Outstanding theoretical and practical understanding of modern data science, statistical modeling, and machine-learning techniques
Several years of professional experience as an analytics consultant, dealing with different internal and especially external clients
Track record of successfully leading time-critical projects; proven ability to deliver results quickly
Certified actuary is an advantage
Excellent knowledge of statistical programming (SAS, R, Python, etc.); other programming skills (SQL, .net, Visual Basic, etc.) are an advantage
Strong presentation, consulting, and project management skills; excellent command of English; knowledge of German would be a plus
Very high level of commitment, creativity, willingness to travel, and eagerness to work independently in a dynamic environment
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. 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.
Make it happen.