Jonathan Gantner
About Jonathan Gantner
Jonathan Gantner is a Quant Developer at Raiffeisen Bank International AG, specializing in data processing workflows and statistical model validation in credit risk. He holds a Ph.D. from Politecnico di Milano and has extensive experience in academia and consulting.
Current Role at Raiffeisen Bank International
Jonathan Gantner serves as a Quant Developer at Raiffeisen Bank International AG, a position he has held since 2021. In this role, he specializes in the design of data processing workflows and statistical model validation within the credit risk department. His work focuses on enhancing the bank's data infrastructure and analytics capabilities, which are crucial for informed decision-making in financial contexts.
Previous Experience in Quantitative Development
Before joining Raiffeisen Bank International, Gantner worked at d-fine as a Senior Consultant from 2020 to 2021. He also held the position of Consultant at d-fine from 2018 to 2020. His earlier roles include working as a Tutor at Technische Universität Wien and as a Trainee at AIT Austrian Institute of Technology GmbH in 2011 and 2013. These experiences contributed to his expertise in quantitative analysis and data processing.
Educational Background in Mathematics and Engineering
Gantner has a strong academic foundation in mathematics and engineering. He earned a Doctor of Philosophy (Ph.D.) in Mathematical Models and Methods in Engineering from Politecnico di Milano, where he studied from 2014 to 2017. He also holds a Master of Science (M.Sc.) and a Bachelor of Science (B.Sc.) in Mathematics in Science and Technology from Technische Universität Wien, completed between 2007 and 2014.
Expertise in Data Science and Engineering
Jonathan Gantner has a keen interest in data science and data engineering. He believes in the significant impact of well-designed data infrastructure and effective data analytics on organizational success. His work combines software development with mathematical knowledge, aimed at supporting decision-making processes in various contexts, particularly within financial institutions.
Teaching Experience at Technische Universität Wien
Gantner has contributed to academia through his role as a Tutor at Technische Universität Wien. He served in this capacity during two periods, from 2011 to 2012 and again from 2013 to 2014. His teaching experience has allowed him to engage with students and share his knowledge in mathematics and technology.