The Group Investment Management (GIM) division is responsible for managing the proprietary Munich Re and ERGO investment portfolio of around €250bn. Within the business unit Investment Strategies of GIM the Tactical Asset Allocation department (GIM2.1) is responsible for the tactical asset allocation (TAA) of the whole Munich Re Group. This implies that on the basis of the long term strategic allocation (SAA) a granular tactical asset allocation is built and regularly updated to adjust for the changes in the political/economic environment and movements in the capital markets. The department unites experts for all liquid asset classes. Portfolio positions in all asset classes are weighted on the basis of quantitative and qualitative methods to reach an efficient portfolio (TAA generation).

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

• Data Intake from in-house databases and integration of third party data sources
• Further enhancement of our capital markets analysis tools and methods
• Support in the continuous improvement of our proprietary portfolio data analysis application
• Automation of capital market tools as well as portfolio steering tools
• 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
• Knowledge of quantitative methodologies, statistics, financial mathematics
• Data analysis and machine learning is a plus
• Basic knowledge in capital markets and good macroeconomic understanding would be an advantage

Students from countries outside the EU require a German residence-/work permit.