Skip to main content
Get Job Alerts Saved Jobs View All Jobs

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

Location Munich, Germany Job type Full-Time Work mode On-site Job level Internship & Working Student Job ID 11327 Company Munich Re Employment type Temporary Area of expertise Asset & Investment Management
Apply Now

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 April 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 11,000 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.

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
Königinstraße 107 • 80802 München • GERMANY

* 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.

Apply Now

Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

See the area you’ll be working in

Get an idea of what your daily routine around the office can be like.

This may interest you

Featured Jobs

View jobs to show jobs list.

Save jobs to show jobs list.

Activate your job alert

Looking for the ideal professional challenge? Stay informed with the Munich Re Group job alert service: Munich Re, ERGO Group and MEAG offer a wide range of opportunities. Once you have set up the service, you'll receive automatic email updates on new job vacancies that match your search criteria.

Interested InPlease select a category, location, and/or company option. Click “Add” to create your job alert. You can add more than one combination to your alert.

By signing up, I acknowledge that I have read the privacy policy, and I wish to receive email communications.

To complete the Job Alert, your e-mail address, and the filter criteria you selected will be processed. The processing of the data is exclusively for the purpose of sending the Job Alert e-mails. With deletion of the Job Alert, your data will also be deleted. You can find further information about our imprint here: Privacy Policy.