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A. E., B., & P. A., S. (2018). Improvement of Customers Identification Based on Logistic Remote Analysis Methodology. KnE Social Sciences, 3(2), 229-234. https://doi.org/10.18502/kss.v3i2.1547

https://doi.org/10.18502/kss.v3i2.1547

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authors

  • Barykin A. E.

    Barykin A. E.

    St. Petersburg State Marine Technical University, Dr. SC. (Econ.), Professor, Department of international economic relations, St. Petersburg
  • Smyslov P. A.

    Smyslov P. A.

    Interregional training and Consulting Centre financial monitoring (ITMCFM regional partner), Ph.D., a specialist in educational activity in the sphere of counteraction to washing up of criminal incomes and terrorism financing, lecturer, Moscow

Published Date

  • Feb 15, 2018

Improvement of Customers Identification Based on Logistic Remote Analysis Methodology

KnE Social Sciences / III Network AML/CFT Institute International Scientific and Research Conference "FinTech and RegTech" / Pages 229-234

Abstract

The article provides a methodical approach to diagnostic operations with funds to identify quality risks and minimize the subjectivity of the decision of internal control activities. Methodology of remote identification of individuals for example insurance companies.

 

Keywords: cash operations, internal control systems, countering the legalization (laundering) of proceeds received by criminal way and terrorism financing, risk-oriented approach, identifying

References
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