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Privacy Policy

Responsible for the content

Finance Club University of Zurich
c/o Department of Banking and Finance
Plattenstrasse 14
8032 Zürich

info@financeclub.ch


Disclaimer
The Finance Club assumes no liability whatsoever with regard to the correctness, accuracy, up-to-dateness, reliability and completeness of the information provided.

Liability claims regarding damage caused by the use of any information provided, including any kind of information which is incomplete or incorrect, will therefore be rejected.

All offers are non-binding. The Finance Club expressly reserves the right to change, supplement, delete or temporarily or permanently cease publication of parts of the pages or the entire website without prior notice.


Liability for links
References and links to third-party websites are outside our area of responsibility. We decline any responsibility for such websites. Access to and use of such websites is at the user's own risk.


Copyright
The copyrights and all other rights to the content, images, photos or other files on the website belong exclusively to the Finance Club or the specifically named rights holders. Our written consent must be obtained for the reproduction of any elements.


Data protection
Based on Article 13 of the Swiss Federal Constitution and the data protection regulations of the Swiss Confederation (Data Protection Act, DSG), every person has the right to protection of their privacy as well as protection against misuse of their personal data. We comply with these provisions. Personal data is treated as strictly confidential and is neither sold nor passed on to third parties.

In close cooperation with our hosting providers, we make every effort to protect the databases as well as possible against unauthorised access, loss, misuse or falsification.

When you access our websites, the following data is stored in log files: IP address, date, time, browser request and generally transmitted information on the operating system or browser. This usage data forms the basis for statistical, anonymous evaluations so that trends can be identified, which we can use to improve our offers accordingly.

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