Project summary

Credit risk assessment is an important aspect of financial management for banks. A proper credit risk assessment system brings banks substantial benefits, such as reducing the possibility of getting into bad debts, improved bottom line (profits), enhanced customer management processes, and increased accountability within the institution. Achieving successful credit risk assessments commonly involves the acquisition of users’ bank statement data. The innovative methodology delivered through this project will enhance the user data protection of credit risk assessment algorithms, to comply with existing data privacy legislations and laws around the world.


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Project members

Associate Professor Guangdong Bai

Associate Professor Software Engineering
School of Electrical Engineering and Computer Science