Martin Kapl

Head Of Department Risk Methods And Analytics @ Raiffeisen Bank International

About Martin Kapl

Martin Kapl is the Head of Department for Risk Methods and Analytics at Raiffeisen Bank International AG, a position he has held since 2021. He has extensive experience in quantitative analysis and risk management, having previously worked in various roles at Raiffeisen Bank and at the Medical University of Graz.

Current Role at Raiffeisen Bank International AG

Martin Kapl serves as the Head of Department Risk Methods and Analytics at Raiffeisen Bank International AG. He has held this position since 2021, overseeing the development and implementation of risk assessment methodologies and analytics within the organization. His role involves leading a team focused on enhancing risk management practices and ensuring compliance with regulatory standards.

Previous Experience at Raiffeisen Bank International AG

Prior to his current role, Martin Kapl worked at Raiffeisen Bank International AG as the Head of Rating Development from 2016 to 2021. In this capacity, he managed the development of rating systems and models that support credit risk assessment. Additionally, he served as a Senior Quantitative Analyst from 2015 to 2016, where he contributed to quantitative risk analysis and model validation.

Academic Background

Martin Kapl studied at Johannes Kepler Universität Linz, where he pursued a Bachelor's degree in Statistik from 2003 to 2007. He continued his education at the same institution, earning a Master’s degree in Wirtschaftswissenschaften from 2001 to 2007. He further advanced his studies by obtaining a Doktor (Ph.D.) in Statistik from 2007 to 2009, solidifying his expertise in statistical methods and their applications.

Experience at Medizinische Universität Graz

From 2013 to 2015, Martin Kapl worked as a Senior Postdoctoral Fellow at Medizinische Universität Graz. In this role, he engaged in advanced research projects, contributing to the academic community through his expertise in quantitative analysis and statistical methodologies.

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