Working student Data Management (m|f|d)

MEAG is part of Munich Re Group and one of the world's foremost asset managers.    To support our team in Data Management, we are looking for a working student (m|f|d) at our Munich location as soon as possible.

Shape the future with us:

• Review Traded prices based on market data, conditions, and trading strategies
• Understand and validate the pricing methodology using Excel, VBA, and R
• Support in implementing and optimizing price checking processes
• Collaborate with traders and controllers to ensure pricing accuracy
• Contribute to the improvement of data validation and reporting tools

Your qualifications:

• Enrolled student in Finance, Economics, Mathematics, or a related field
• Good understanding of financial instruments and market structures
• Familiar with trading strategies and experience with Bloomberg is a plus
• Proficiency in Excel and basic programming skills in R and VBA
• Professional in English is required; fluent German is a plus

These benefits await you:

• Flexibility: Mobile working options (ability to work from home several days a week), coordination of your weekly working hours with your team, enabling you to balance studies, work, and leisure.
• Development: A steep learning curve with practical content and an excellent onboarding experience.
• Other: Excellent public transport connections, exciting events, free daily lunch in our cafeteria, complimentary hot beverages 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.