This study deals with the social world of banking and management, which is dominated by people rather than natural laws; there is a subjective element, as people in the banking realm interpret conditions and events differently. Social scientists should incorporate social enactment into their analysis of data generated by interviews (Madill, 2011); content and interaction should be integrated when studying participants. Data triangulation is used by relying on three sources of empirical data: two surveys, sixteen semi-structured interviews, and a business case study. This allows to obtain multiple points of view to study the risk management of extreme events. This reinforces the credibility and validity of the research. In essence, thanks to the analysis of empirical data this research gains a more profound understanding into (1) the nature and drivers of extreme events, (2) the environmental similarities between banks and disruption-prone companies, (3) the risk management tools U.S. G-SIBs embrace to manage extreme events, (4) the way disruption-prone corporations address uncertainty and complexity, and (5) some techniques from those corporates could assist U.S. G-SIBs in apprehending extreme events.