One of the main obligations resulting from AML
directive is: Customer due diligence (CDD). Financial and
Credit Institutions face the obligation to recognize AML
customers and report their data accordingly. Knowing that these
data already exists in some identified Data Bases such as: Civil
State Offices, National Registration Centers, Ministries etc,
then there is no need of creating multiple Data Bases for the
same Customer Identification data, but there is the need of
creating a data connection / exchange between these parties.
The AML reporting is an obligatory EU directive and a country
specific in force law obligation, so Public Institutions that
posses Customer Identification Data Bases should cooperate
with Financial Institutions to facilitate the process of Customer
Identification thus enhancing the accuracy of data reported and
Improving Customer Serving from these Financial Institutions.
The intention of this research is to give an overview of the
existing parties involved in Customer Identification, and listing
the Pros and Cons of establishing a data communication
between these parties.
Published In : IJCSN Journal Volume 4, Issue 2
Date of Publication : April 2015
Pages : 191 - 193
Figures : 02
Tables : --
Publication Link : Anti Money Laundering Overall Customer
Identification Schema & Data Concern
Evis DRINI : has graduated the Faculty of Economic Business
Informatics, Tirana University in 2007. She holds a post graduation
master diploma in MBA Entrepreneurship from 2011 and is actually
enrolled in PhD school in the same Faculty. She joined the Faculty of
Economic staff as teaching assistant in 2008-2009 on the
management of information systems subject. Having an experience
of more than 7 years working as SW development, reporting and
analysis in the banking sector, she currently holds the title of Senior
Specialist (from 2011) on IT-department at National Commercial Bank
of Albania. She is the author of 4 journal articles and conference
papers in the field of information systems management, Anti Money
Laundering and business informatics related fields. Her work focuses
on the analysis and development of banking software applications
and reporting issues.
Dr. Rovena BAHITI : has graduated the Faculty of
Economic, Tirana University in 1998. She holds a PhD diploma in
Economics from 2006 and she had gone through all didactic
positions since 1999 when she joined the staff of the Faculty of
Economic, teaching assistant in 1999, senior lecturer in 2006 and
assistant professor in 2011. For several years she was full Professor
of Business Informatics within the Department of Statistics and
Applied Informatics at Faculty of Economic, Tirana University. Now
she is the Director of National Computer Security Agency (ALCIRT).
She is the author of more than 30 journal articles and conference
papers in the field of management information system and other
economic and informatics related fields. Her work focuses on the
management of IT project and information systems.
AML
Customer Identification
Customer Due
Diligence
Setting a data connection between financial institutions
and public institutions like Civil State Offices and
Ministries to ease the non customer identification process,
will lead to benefits for all the parties involved.
[1] Commission Of The European Communities. Brussels,
30.6.2009. Commission Staff Working Paper -
Compliance with the anti-money laundering directive by
cross-border banking groups at group level [Electronic
version] Retrieved March 17, 2013 on the website
http://ec.europa.eu/internal_market/company/docs/financ
ial-crime/compli_cbb_en.pdf
[2] http://cryptome.org/fincen022610.pdf
[3] http://www.rbnz.govt.nz/regulation_and_supervision/antimoney_
laundering/guidance_and_publications/5506190.
pdf
