Working Student Quantitative Strategies in München bei Meag Munich Ergo AssetManagement GmbH

Working Student (m|w|d) Quantitative Strategies in München bei Meag Munich Ergo AssetManagement GmbH

Meag Munich Ergo AssetManagement GmbH

München

hybrid/vor Ort
Werkstudent

MEAG is part of Munich Re Group and one of the world's foremost asset managers.

Shape the future with us:

Writing unit tests and documentation in Python
Development of predictive machine learning models for financial markets
Development of generative AI based features in Python

Your talents:

Understanding of machine learning algorithms and probability theory
Minimum 2 years of programming experience in Python
Experience with machine learning libraries in Python (pytorch, scikit-learn)
Experience with SQL and Git
Understanding of NLP models and ecosystem (desirable)
English: advanced

These benefits await you:

Flexibility: Mobile working (partial home-office option), coordination of your weekly working hours with your team so you can balance your study, work and free time
Development: A fast learning curve in practical matters, great on-boarding assistance
Other: Excellent public transport connections, fun events, free lunch in our canteen every day, free hot drinks and water, underground parking with e-charging infrastructure and much more!

This list is based on company agreements that may vary at different locations and are subject to change at any time. The list is for information purposes only. We accept no liability for its content.

MEAG stands not only for collaborative partnerships with our clients, but also for equitable treatment of applicants and employees, regardless of gender. If we use masculine pronouns here, then purely for ease of legibility. Seriously disabled applicants will be given preferential consideration over other applicants if otherwise similarly suitable for the position.