David Hirnschall
About David Hirnschall
David Hirnschall is a Junior Retail Risk Modelling & Methodology Manager at Raiffeisen Bank International AG, with a strong background in financial and actuarial mathematics. He has transitioned from a professional athlete to a career in finance, actively contributing to the WUTIS trading division and integrating machine learning techniques into financial applications.
Current Role at Raiffeisen Bank International
David Hirnschall serves as the Junior Retail Risk Modelling & Methodology Manager at Raiffeisen Bank International AG. He has held this position since 2020, contributing to the development of risk models and methodologies within the retail banking sector. His role involves analyzing financial data and implementing strategies to manage risk effectively.
Education and Academic Background
David Hirnschall has a strong academic background in financial mathematics. He is currently pursuing a Doctor of Philosophy (PhD) at WU (Vienna University of Economics and Business), focusing on financial mathematics since 2020. He earned a Bachelor of Science (BSc) in Financial and Actuarial Mathematics from Technische Universität Wien from 2014 to 2018, followed by a Master of Science (MSc) in the same field from 2018 to 2020.
Professional Experience in Academia
David has gained valuable teaching experience at WU (Vienna University of Economics and Business) as a Teaching and Research Associate since 2020. He previously worked as a Teaching Assistant at the Institute for Statistics and Mathematics for five months in 2020 and at the Institute of Analysis and Scientific Computing for four months from 2018 to 2019. His roles involved supporting academic instruction and research initiatives.
Background in Professional Sports
Before transitioning to finance, David Hirnschall was a professional athlete, serving in the Österreichisches Bundesheer (Austrian Armed Forces) as part of the Heeresleistungssportzentrum Seebenstein for 11 months from 2013 to 2014. This experience reflects his dedication and discipline, which he has carried into his academic and professional pursuits.
Involvement in Financial Applications and Societies
David is passionate about integrating machine learning techniques into financial applications. He is an active member of the WUTIS (Trading and Investment Society), where he works as a Quantitative Analyst since 2019. His contributions to the society focus on trading and investment initiatives, enhancing his practical understanding of financial markets.