Internship Quantitative Investment Strategies (m/f/d)* Münchener Rückversicherungs-Gesellschaft
Anzeige vom: 06.06.2024

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

Standort:
  • München
Münchener Rückversicherungs-Gesellschaft

Zusammenfassung

  • Arbeitszeit
    Vollzeit
  • Typ
    Praktikum

Gewünschte Fähigkeiten & Kenntnisse

Python
Machine Learning
Solid
Asset Allocation
Analyse
Programmiererfahrung
ACT!
Support
Big Data Analytics
Administration
Data Analysis

Stellenbeschreibung

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

    Rosi Weißmüller/Silke Rößler

  • 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.



Ihre Aufgaben


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. Nationals of countries outside the European Economic Area require a German student residence/work permit

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



Ihr Profil


  • 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.

Profil

Fachliche Voraussetzung

  • Anlagestrategie, Asset-Klassen, Computerprogrammierung, Data Analysis, Finanzmathematik, Informatik, Investitionen, Kapitalmärkte, Kaufmännische Verwaltung, Machine Learning, Mathematik, Portfolio-Optimierung, Python, Quantitative Analyse, Quantitative Methoden, Quantitatives Investieren, Statistiken, Vermögensallokation, Wirtschaft, Ökonometrie

Bewerbung

    Branche:

    Finanzen / Versicherungen

    Arbeitgeber:

    Münchener Rückversicherungs-Gesellschaft

    Adresse:

    Münchener Rückversicherungs-Gesellschaft
    Koniginstr 107
    80802 Munchen