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

Munich Re -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Investment
Azure
Datenanalyse
Master
Machine Learning
Python

Vollständige Stellenbeschreibung

Location Munich, Germany Job type Full-Time Work mode On-site Job level Internship & Working Student Job ID 13491 Company Munich Re Employment type Temporary Area of expertise Asset & Investment Management

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.

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.

Jetzt bewerben

Erweiterte Suche

working student machine Jobs in bayern

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

Intern (d/f/m) in AI driven software development

Business Development Internship (m/f/d)

Associate - AI Tech Consulting (all genders) - BCG Platinion

Postdoctoral Researcher (m/f/d)

Werkstudent (m/w/d) Artificial Intelligence

Masterand (d/m/w) im Bereich Deep Reinforcement Learning für die Luftfahrtproduktion

Training as an industrial mechanic [m/f/d]

Forward Deployed Engineer

Werkstudent / Praktikant / Abschlussarbeit (m/w/d) — Bildverarbeitung & Sensorsysteme

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