Exploring Multi-Banking Customer-to-Customer Relations in AML Context with Poincar\'e Embeddings

Lucia Larise Stavarache, Donatas Narbutis, Toyotaro Suzumura, Ray Harishankar and Augustas \v{Z}altauskas
Additional contact information
Lucia Larise Stavarache: IBM Global Business Services
Donatas Narbutis: IBM Lithuania, Client Innovation Center Baltic
Toyotaro Suzumura: IBM T.J. Watson Research Center
Ray Harishankar: IBM Global Business Services
Augustas \v{Z}altauskas: IBM Lithuania, Client Innovation Center Baltic

Papers from arXiv.org

Abstract: In the recent years money laundering schemes have grown in complexity and speed of realization, affecting financial institutions and millions of customers globally. Strengthened privacy policies, along with in-country regulations, make it hard for banks to inner- and cross-share, and report suspicious activities for the AML (Anti-Money Laundering) measures. Existing topologies and models for AML analysis and information sharing are subject to major limitations, such as compliance with regulatory constraints, extended infrastructure to run high-computation algorithms, data quality and span, proving cumbersome and costly to execute, federate, and interpret. This paper proposes a new topology for exploring multi-banking customer social relations in AML context -- customer-to-customer, customer-to-transaction, and transaction-to-transaction -- using a 3D modeling topological algebra formulated through Poincar\'e embeddings.

Date: 2019-12, Revised 2020-06
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/1912.07701 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1912.07701

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().