Internship Tactical Asset Allocation - Data Analytics (m/f/d)*

Location: München, BY, DE

Internship Tactical Asset Allocation - Data Analytics (m/f/d)*

Standort:

München, BY, DE

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Stellentyp:

Vollzeit

Arbeitsform:

Vor Ort

Job Level:

Praktikanten & Werkstudenten

Stelle ID:

13491

Company:

Munich Re

Anstellungsart:

Befristet

Fachbereich:

Asset & Investment Management

Beschreibung:

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 (GIM1.2) 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.

We are offering a full-time internship for 6 months starting on September 1, 2026.

Your Job

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

Automation of capital market tools as well as portfolio steering tools

Participating in projects on investment topics

Your Profile

Student of math, science, information technology, economics or business management with a quantitative orientation and excellent marks

Knowledge of quantitative methodologies, statistics, financial mathematics

Proficient programming skills is a prerequisite, preferably Python

Knowledge in capital markets and good macroeconomic understanding

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

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. Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.

Unlock your potential

Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.

Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.

Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Münchener Rückversicherungs-Gesellschaft Silke Rößler / Oksana Kern / Nina Hartmuth

Coordination Students Program * Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified.