12 beste Stellen als working student python in münchen – aktuell auf Personalsuche

Internship Quantitative Investment Strategies (m/f/d)*
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MOIA GmbH —München
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Atira —München
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Senior Backend Engineer (all genders) - Vehicle Foundation
MOIA GmbH —München
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The Mobility House —München
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Praktikant in Volkswirtschaftlicher Abteilung (Economics) (m/w/d)*
Munich Re —München
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Senior Software Engineer (m/f/d) Vehicle Grid Integration
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working student python jobs near münchen

Internship Quantitative Investment Strategies (m/f/d)*

Munich Re -
München

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Details zur Stelle

Vollzeit
vor 9 Tagen

Qualifikationen

Master
Machine Learning
Python

Vollständige Stellenbeschreibung

Location Munich, Germany Job type Full-Time Work mode On-site Job level Internship & Working Student Job ID 13450 Company Munich Re Employment type Temporary Area of expertise Data, BI & Analytics

The Group Investment Management (GIM) division is responsible for managing the proprietary Munich Re and ERGO investment portfolio of around €230bn. Within the business unit Investment Strategies of GIM the Tactical Asset Allocation department is responsible for the tactical asset allocation (TAA) of the whole Munich Re Group. This means building a granular TAA on the basis of the long-term strategic allocation (SAA) and regularly updating it to reflect changes in the political/economic environment and movements on the capital markets. The department brings together experts in all liquid asset classes and markets. Portfolio positions in all asset classes are weighted using quantitative and qualitative methods to achieve an efficient investment portfolio. Within this challenging environment you will strengthen the team as an intern within the department “Tactical Asset Allocation“. We are looking for a candidate with strong quantitative and data analytics skills for a full-time internship of at least three months, with a longer duration preferred. Preferred start date: August 1, 2026.

Your Job

Support the investment managers in generating trading ideas and searching for investment opportunities
Research quantitative methods to analyze and predict capital markets
Implement quantitative models in Python
Enhance our quantitative capital markets analysis tools

Your Profile

Student of mathematics, science, computer science, economics or business administration with a quantitative orientation and excellent grades
Solid programming skills are required, preferably Python
Knowledge of quantitative methods, statistics, machine learning, financial mathematics, data analysis or econometric approaches
Interest in capital markets

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 • 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.

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.

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Erweiterte Suche

working student python Jobs in münchen

Internship Quantitative Investment Strategies (m/f/d)*

Core Engineer (all genders)

PhD Computational Design for Automotive Engineering and Design Processes (f/m/x)

Werkstudent im Bereich Investment Risk Management (m/w/d)

Senior AI ADAS Engineer (f/m/x)

Junior Cybersecurity Engineer

(Senior) Automotive Cyber Security Test Manager (all genders)

Forward Deployed Engineer

Senior Backend Engineer (all genders) - Vehicle Foundation

Senior Software Engineer (m/f/d)

Praktikant in Volkswirtschaftlicher Abteilung (Economics) (m/w/d)*

Senior Software Engineer (m/f/d) Vehicle Grid Integration

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