The Group Investment Management (GIM) division is responsible for managing the proprietary Munich Re and ERGO investment portfolio of around €250bn. The department unites experts for all liquid asset classes. Within this challenging environment you will strengthen the team as an intern within the department "Tactical Asset Allocation". A candidate with strong quantitative and programming skills and experiences in data analytics is needed.
Support the team in developing methods, models and processes for a structured analysis of capital markets, specifically
Design back-testing frameworks to evaluate the predictive accuracy of covariance matrices, apply methodological advances in the literature and improve our model risk forecasting capabilities.
Work at the intersection of data analytics and portfolio strategy, leveraging cutting-edge technologies like Azure Data Lake, Databricks, and Lakehouse architecture.
Support in the continuous improvement of our proprietary portfolio data analysis application
Participating in projects on investment topics
Student of math, science, information technology, economics or business management with a quantitative orientation and excellent marks
Proficient programming skills is a prerequisite, preferably Python
Data analysis and machine learning is a plus
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
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.
That's why we offer them a wide range of benefits.
Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.
Coordination Students Program Königinstraße 107
~Severely disabled candidates will also be prioritised, if equally qualified.