Framework for big data usage in risk management process in banking institutions

Nowadays banks operate in changing environment influenced by regulatory requirements, emerging risk types and competition on the market. At the same time banks have available large datasets arising from internal and external sources. The potential for this data usage in risk management has only recently been discovered and has not been the subject of extensive scientific research. There are two goals of this paper. Firstly, authors give an overview of available scientific literature and practical research related to big data usage in risk management in banks. Secondly, based on the literature review authors are presenting framework with specified detailed use of big data in specific key risk management areas. Expected contribution of this paper is in presenting framework that can be used for practical purposes in banking industry as a matrix for using big data in certain risk management area. Second expected contribution is in increasing scientific public awareness on the topic and on the potential of research in the field of big data technologies usage in risk management in banks.