Big data for the implementation of AFC tools in the banking industry: a specific case
Benvenuti, Matteo (A.A. 2022/2023) Big data for the implementation of AFC tools in the banking industry: a specific case. Tesi di Laurea in Digital finance, Luiss Guido Carli, relatore Paolo Bonolis, pp. 126. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Financial innovation and big data. Big data: definition and key characteristics. Opportunities. Risks and the regulators’ approach. Introduction to big data usage within the banking industry. Credit scoring. Fraud risk management. Compliance with AML directives. Accenture case study: the replacement of the AFC system adopted by a pan-European banking group. Current landscape. Target architecture. AFC processes in scope. Screening logics. List management. Data feeding monitoring. Data migration. Data archiving and retention. The impact of new regulation in the upcoming years. Regulation of crypto assets. Upcoming AML regulation.
References
Bibliografia: pp. 101-102. Sitografia: p. 103.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Digital finance |
| Thesis Supervisor: | Bonolis, Paolo |
| Thesis Co-Supervisor: | Casertano, Gaetano |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 25 Jan 2024 14:06 |
| Last Modified: | 25 Jan 2024 14:06 |
| URI: | https://tesi.luiss.it/id/eprint/37738 |
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