Stefan Geiger

Stefan Geiger

Professional Software Engineer @ Raiffeisen Bank International

About Stefan Geiger

Stefan Geiger is a Professional Software Engineer currently employed at Raiffeisen Bank International AG in Vienna since 2018. He has a diverse background in IT training, consulting, and statistics, with previous roles at Siemens, Universität Innsbruck, and STATISTIK AUSTRIA.

Work at Raiffeisen Bank International

Stefan Geiger has been employed at Raiffeisen Bank International AG as a Professional Software Engineer since 2018. His role involves developing and maintaining software solutions that support the bank's operations. Geiger's expertise contributes to the bank's technological advancements and enhances its service offerings in the financial sector.

Previous Experience at Siemens

Before joining Raiffeisen Bank International, Stefan Geiger worked at Siemens from 1999 to 2010. During his 11 years in Vienna, he served as an IT Trainer and IT Consultant. In these roles, he was responsible for training staff on IT systems and providing consultancy services to improve IT processes within the organization.

Academic Background and Education

Stefan Geiger has a strong academic background in mathematics and information systems. He studied at Innsbruck University, where he earned a Master’s Degree in Mathematics from 1988 to 1993. He later attended the University of Applied Sciences - Technikum Wien, achieving a Master’s Degree in Information Systems Management from 2010 to 2016. Additionally, he studied Actuarial Science at Technische Universität Wien from 2010 to 2017.

Experience as Teaching Assistant

Stefan Geiger served as a Teaching Assistant at Universität Innsbruck for a period of 8 months from 1993 to 1994. In this role, he supported faculty members in delivering educational content and assisted students in their learning processes.

Role at STATISTIK AUSTRIA

From 1996 to 1997, Stefan Geiger worked as a Statistician at STATISTIK AUSTRIA in Vienna. His responsibilities included analyzing statistical data and contributing to the organization’s efforts in data collection and reporting.

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