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ICICI Bank has developed various ‘Zero credit touch’ (ZCT) strategies where without any credit intervention and additional information taken from customers, credit facilities can be provided. But there are several challenges in the expansion of ZCT strategies, namely, (i) current credit models which are a combination of business rules, scorecards and machine learning models, do not qualify a significant proportion of existing ICICI Bank customers; (ii) wherever customers do not have a salary account with the Bank, estimated income is lower leading to the customer being offered an amount lower than his/her requirement; (iii) customers with fraudulent intentions can open accounts and over time, these profiles would qualify for ZCT. To tackle these problems, we propose a novel ZCT system incorporating several state-of-the-art methodologies to build one go-to product to reduce credit and operations cost of lending whilst providing a superior customer experience.
ICICI Bank Canada
Finance, insurance and business
University of Toronto
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