Deadline:
As soon as possible
Location(s)
Germany
Munich
Overview
Details
The IFRS17 Plan & Solvency II team in Central Reserving ensures accurate processing of IFRS17 plan and Solvency II data, delivers actuarial insights based on advanced quantitative and technical analysis and translates insights into a reporting and business contexts – working in close collaboration with the global reserving community and ensuring efficient processes.
You will be able to obtain an overview of the non-life business of Munich Re Group and have the opportunity to contribute to the application of insightful prediction tools and reporting standards.
Your Job
- Assist in simplifying and automating IFRS17 and Solvency II reporting processes
- Conduct independent research on statistical and methodological approaches to drive and pilot AI use case ideas within the closing activities related to IFRS 17 and Solvency II
- Perform data analysis to discover data patterns, understand visualize and summarize the data, estimate the quality and discover anomalies
- Present research results to technical and non-technical stakeholders within the global reserving community
About us
As the world's leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.
Sounds like you? Push boundaries with us and be part of Munich Re.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Your Profile
- University student in data science, computer science, statistics or a similar area
- Proficient in MS Office, SQL, PowerBI, GIT and Python with experience in automation and a strong emphasis on data analysis
- Demonstrated ability to independently drive research projects with creativity, curiosity, and scientific rigor.
- Knowledge of non-life insurance principles and reporting and internship experience is an advantage
- Intrinsically motivated team player with a positive attitude
- Working collaboratively and effectively in an international group
- Regular presence in our Munich office during the initial onboarding phase
Students from countries outside the EU require a German residence-/work permit. The first master's degree may not have been completed before/during the entire internship.
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
