Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence
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Publication Date: | 2021 |
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Format: | Article |
Language: | por |
Source: | Revista Eletrônica da PGE-RJ |
Download full: | https://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/255 |
Summary: | One of the most efficient strategies to fight organized crime is follow the money, since money is the soul of any criminal organization and financial institutions are responsible for notifying public authorities whenever they become aware of suspicious operations. These sectors are characterized as gatekeepers, as Brazil adopts a system of compulsory collaboration between the public and private sectors, in which professionals and entities working in sectors most used by criminals to hide resources must notify public authorities whenever they take knowledge of suspicious operations. The banking system has been experiencing a great impact from the growth of mobility and digital convergence, with the growing use of cell phones (smartphones) as banking channels, imposing a new challenge on financial institutions, since "know your customer" refers to a One of the hardest things to do online: Make sure the person on the other end of the network is really who they say they are. However, by enabling the sharing of records between institutions, they pose a new challenge, since these disruptions required a greater complexity of current regulations, since precisely because of their contemporaneity, it increases the difficulty of specifying relational risks, making the mission more difficult creation and application of anti-washing standards. Thus, the hypothesis that drives this study fits: how to mitigate the risk of handling shared data without harming the "Know your customer" process. The present work, in function of its objectives, was conducted as a bibliographic review research of a qualitative nature, seeking to identify the risks and their mitigation, through the creation of a risk matrix and application of the 5W2H method. It is perceived after completion of the studies that institutions must maintain their current control policies, treating third party data as complementary data, without abdicating the care currently in force and adopting additional measures in the treatment of the data necessary to validate its veracity. |
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Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidenceMitigação de riscos na validação da veracidade de cadastros compartilhados pelas instituições financeiras e o processo de análise dos indícios de lavagem de dinheiroLavagem de DinheiroProteção de DadosOpen BankingMoney laundryData ProtectionOpen BankingOne of the most efficient strategies to fight organized crime is follow the money, since money is the soul of any criminal organization and financial institutions are responsible for notifying public authorities whenever they become aware of suspicious operations. These sectors are characterized as gatekeepers, as Brazil adopts a system of compulsory collaboration between the public and private sectors, in which professionals and entities working in sectors most used by criminals to hide resources must notify public authorities whenever they take knowledge of suspicious operations. The banking system has been experiencing a great impact from the growth of mobility and digital convergence, with the growing use of cell phones (smartphones) as banking channels, imposing a new challenge on financial institutions, since "know your customer" refers to a One of the hardest things to do online: Make sure the person on the other end of the network is really who they say they are. However, by enabling the sharing of records between institutions, they pose a new challenge, since these disruptions required a greater complexity of current regulations, since precisely because of their contemporaneity, it increases the difficulty of specifying relational risks, making the mission more difficult creation and application of anti-washing standards. Thus, the hypothesis that drives this study fits: how to mitigate the risk of handling shared data without harming the "Know your customer" process. The present work, in function of its objectives, was conducted as a bibliographic review research of a qualitative nature, seeking to identify the risks and their mitigation, through the creation of a risk matrix and application of the 5W2H method. It is perceived after completion of the studies that institutions must maintain their current control policies, treating third party data as complementary data, without abdicating the care currently in force and adopting additional measures in the treatment of the data necessary to validate its veracity.Uma das mais eficientes estratégias de combate ao crime organizado é o follow the money, uma vez que o dinheiro é a alma de qualquer organização criminosa e cabe às instituições financeiras o papel de notificar autoridades públicas sempre que tomarem conhecimento de operações suspeitas. Estes setores são caracterizados com gatekeepers, em função de o Brasil adotar um sistema de colaboração compulsória entre o setor público e o privado, em que profissionais e entidades que trabalham em setores mais usados por criminosos para ocultação de recursos devem notificar autoridades públicas sempre que tomarem conhecimento de operações suspeitas. O sistema bancário tem vivido grande impacto do crescimento da mobilidade e convergência digital, com o crescente uso de aparelhos celulares (smartphones) como canais bancários, impondo às instituições financeiras um novo desafio, uma vez que o "know your customer" diz respeito a uma das atividades mais difíceis de fazer online: certificar-se de que a pessoa do outro lado da rede é realmente quem ela diz ser. Porém ao possibilitar o compartilhamento de cadastros entre as instituições impõem a elas um novo desafio, uma vez que estas disrupções exigiram uma maior complexidade dos regulamentos atuais, uma vez que justamente por sua contemporaneidade, aumenta a dificuldade de precisar os riscos relacionais, dificultando a missão de criação e aplicação de normas antilavagem. Desta forma cabe a hipótese que move este estudo: como mitigar o risco do tratamento de dados compartilhados sem prejudicar o processo de "Know your customer". O presente trabalho, em função de seus objetivos, conduziu-se como uma pesquisa de revisão bibliográfica de natureza qualitativa, buscando a identificação dos riscos e sua mitigação, através da confecção de matriz de risco e aplicação do método 5W2H. Percebe-se após conclusão dos estudos que as instituições deverão manter suas políticas atuais de controle, tratando os dados de terceiros como dados complementares, sem abdicar dos cuidados hoje vigentes e adotando medidas adicionais no tratamento dos dados necessários para validação de sua veracidade.Rio de Janeiro RJ: Procuradoria Geral do Estado do Rio de Janeiro Centro de Estudos Jurídicos2021-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/25510.46818/pge.v4i3.255Revista Eletrônica da PGE-RJ; v. 4 n. 3 (2021)Revista Eletrônica da PGE-RJ; Vol. 4 No. 3 (2021)Revista Eletrônica da PGE-RJ; Vol. 4 Núm. 3 (2021)Revista Eletrônica da PGE-RJ; Vol. 4 No 3 (2021)2595-0630reponame:Revista Eletrônica da PGE-RJinstname:Procuradoria Geral do Estado do Rio de Janeiro (PGERJ)instacron:PGERJporhttps://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/255/206Copyright (c) 2021 Alessandro Fernandes, João Zaniinfo:eu-repo/semantics/openAccessFernandes, AlessandroZani, João2022-10-17T10:59:13Zoai:ojs.revistaeletronica.pge.rj.gov.br:article/255Revistahttps://revistaeletronica.pge.rj.gov.br/PUBhttps://revistaeletronica.pge.rj.gov.br/index.php/pge/oairevistaeletronica@pge.rj.gov.br2595-06302595-0630opendoar:2022-10-17T10:59:13Revista Eletrônica da PGE-RJ - Procuradoria Geral do Estado do Rio de Janeiro (PGERJ)false |
dc.title.none.fl_str_mv |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence Mitigação de riscos na validação da veracidade de cadastros compartilhados pelas instituições financeiras e o processo de análise dos indícios de lavagem de dinheiro |
title |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
spellingShingle |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence Fernandes, Alessandro Lavagem de Dinheiro Proteção de Dados Open Banking Money laundry Data Protection Open Banking |
title_short |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
title_full |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
title_fullStr |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
title_full_unstemmed |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
title_sort |
Mitigation of risks in the validation of the veracity of registrations shared by financial institutions and the analysis process of money laundering evidence |
author |
Fernandes, Alessandro |
author_facet |
Fernandes, Alessandro Zani, João |
author_role |
author |
author2 |
Zani, João |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Fernandes, Alessandro Zani, João |
dc.subject.por.fl_str_mv |
Lavagem de Dinheiro Proteção de Dados Open Banking Money laundry Data Protection Open Banking |
topic |
Lavagem de Dinheiro Proteção de Dados Open Banking Money laundry Data Protection Open Banking |
description |
One of the most efficient strategies to fight organized crime is follow the money, since money is the soul of any criminal organization and financial institutions are responsible for notifying public authorities whenever they become aware of suspicious operations. These sectors are characterized as gatekeepers, as Brazil adopts a system of compulsory collaboration between the public and private sectors, in which professionals and entities working in sectors most used by criminals to hide resources must notify public authorities whenever they take knowledge of suspicious operations. The banking system has been experiencing a great impact from the growth of mobility and digital convergence, with the growing use of cell phones (smartphones) as banking channels, imposing a new challenge on financial institutions, since "know your customer" refers to a One of the hardest things to do online: Make sure the person on the other end of the network is really who they say they are. However, by enabling the sharing of records between institutions, they pose a new challenge, since these disruptions required a greater complexity of current regulations, since precisely because of their contemporaneity, it increases the difficulty of specifying relational risks, making the mission more difficult creation and application of anti-washing standards. Thus, the hypothesis that drives this study fits: how to mitigate the risk of handling shared data without harming the "Know your customer" process. The present work, in function of its objectives, was conducted as a bibliographic review research of a qualitative nature, seeking to identify the risks and their mitigation, through the creation of a risk matrix and application of the 5W2H method. It is perceived after completion of the studies that institutions must maintain their current control policies, treating third party data as complementary data, without abdicating the care currently in force and adopting additional measures in the treatment of the data necessary to validate its veracity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/255 10.46818/pge.v4i3.255 |
url |
https://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/255 |
identifier_str_mv |
10.46818/pge.v4i3.255 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistaeletronica.pge.rj.gov.br/index.php/pge/article/view/255/206 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Alessandro Fernandes, João Zani info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Alessandro Fernandes, João Zani |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Rio de Janeiro RJ: Procuradoria Geral do Estado do Rio de Janeiro Centro de Estudos Jurídicos |
publisher.none.fl_str_mv |
Rio de Janeiro RJ: Procuradoria Geral do Estado do Rio de Janeiro Centro de Estudos Jurídicos |
dc.source.none.fl_str_mv |
Revista Eletrônica da PGE-RJ; v. 4 n. 3 (2021) Revista Eletrônica da PGE-RJ; Vol. 4 No. 3 (2021) Revista Eletrônica da PGE-RJ; Vol. 4 Núm. 3 (2021) Revista Eletrônica da PGE-RJ; Vol. 4 No 3 (2021) 2595-0630 reponame:Revista Eletrônica da PGE-RJ instname:Procuradoria Geral do Estado do Rio de Janeiro (PGERJ) instacron:PGERJ |
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Procuradoria Geral do Estado do Rio de Janeiro (PGERJ) |
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PGERJ |
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PGERJ |
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Revista Eletrônica da PGE-RJ |
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Revista Eletrônica da PGE-RJ |
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Revista Eletrônica da PGE-RJ - Procuradoria Geral do Estado do Rio de Janeiro (PGERJ) |
repository.mail.fl_str_mv |
revistaeletronica@pge.rj.gov.br |
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