Working Student - Munich, Deutschland - Meag Munich Ergo AssetManagement GmbH

Meag Munich Ergo AssetManagement GmbH

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

München
- hybrid/vor Ort

Publiziert:
MEAG is part of the Munich Re Group and is one of the most important asset management companies in the world.

Shape the future with us:

Development and maintenance of quantitative tools for identifying investmen opportunities
Development and backtesting of investment strategies with the goal to create alpha
Close cooperation with portfolio managers in the daily steering of portfolios
Preparation and active participation in investment meetings

Your talents:

Strong quantitative university degree (MSC an PhD student preferred) with focus on statistics/econometrics
Experience with timeseries/statistics analysis packages in Python
Basic knowledge of data visualization software
PowerBi
Keen interest for asset management and Emerging Markets in particular

These benefits await you:

Flexibility: Mobile working (possibility to work from home a few days a week), coordination of your weekly working hours with your team & thus the possibility to balance study, work & free time
Development: A steep learning curve in the practical content, great onboarding
Other: Very good public transport connections, great events, free lunch in our canteen every day, free hot drinks & water, underground parking with echarging infrastructure & much more

*This is a list based on the current company agreements, which may vary at different locations & may change at any time. The list is for information purposes only. We accept no liability for individual points.

MEAG stands not only for a partnership-based relationship with customers, but also for fair treatment of applicants and employees, regardless of gender.

If we therefore use the masculine form of personal designations, this is only for reasons of readability. Severely disabled applicants will be given preferential consideration if their suitability is otherwise essentially the same.