2021 CSBS Data Analytics Competition

The annual CSBS data analytics competition (DAC) has a two-fold purpose: (1) To give college students an opportunity to explore data analytics solutions to real-world banking questions, and (2) to provide CSBS and its members with creative ideas and valuable solutions to interesting and important bank-related data analytics questions. The goal of the 2021 challenge is to provide an early warning model using predictive analytics to detect individual bank weakness and potential vulnerability to failure. Through discussions with bank examiners, community bankers, and financial system researchers in academia or government, students will use bank call reports, relevant economic data, and other historical statistics to develop an off-site, predictive analytics model to accurately assess a bank’s financial health and riskiness, and in doing so, develop an early-warning model that signals potential failure/distress.