Part-time PhD student
- Academic Biography
- Doctoral Project
- Publications
- Conference Participations, Scientific Talks
- Other achievements
Education / Academic qualification:
- 2001-2006 University of World Economy and Diplomacy, bachelor degree of “World Economy and International Economic Relations”
- 2017-2019 Westminster International University in Tashkent, master degree of “Applied Economics”
Employment
- 2006-2011 Ministry of Foreign Economic Relations, Investments and Trade of Uzbekistan, lead specialist/Head of Unit, Department of Economy and Finance
- 2011-2020 KDB Bank Uzbekistan, Officer/Senior Officer of Compliance Department
- 2020-2021 TBC Bank Uzbekistan, Head of AML Department
- 2021-present Senior Associate/AML Compliance Officer of Raiffeisen Bank International AG
Expertise
- World economy and international economic relations, Foreign Investments, Economic Diplomacy, Banking and Finance, AML/Compliance, Risk Management
- Research and data analytics
Doctoral project
Prospect of Implementing Artificial Intelligence in Anti-Money Laundering Compliance Management within Banking Sector of Uzbekistan
As global financial transactions become increasingly complex and interconnected, banking system faces heightened risks of money laundering and terrorist financing. This research addresses the urgent need for effective compliance measures in this dynamic environment. Financial institutions are under constant pressure to meet stringent regulatory requirements.
By exploring AI technologies, this research aims to provide insights that can help banks enhance their compliance frameworks, reducing the risk of penalties and reputational damage. Traditional AML processes are often resource-intensive and prone to human error. This research highlights how AI can streamline operations, improve accuracy, and reduce costs associated with AML compliance, ultimately leading to more efficient banking practices.
AI technologies have the potential to significantly improve the detection of suspicious activities through advanced data analysis and pattern recognition. This research will contribute to the development of more effective monitoring systems, enhancing the overall integrity of the financial system. By investigating the role of AI in AML compliance management, this research promotes innovation within the banking sector, encouraging the adoption of cutting-edge technologies that can transform compliance practices and improve customer trust. The findings will not only contribute to the academic literature on AML compliance and AI technologies but also provide practical guidance for financial institutions seeking to adopt these innovations, fostering collaboration between academia and industry. The research implications are relevant to Uzbek banking system, which is at an early stage of developments towards AI driven AML Compliance Management systems.
Publications
- Khatamov. A., Suyunov A. CURRENT CHALLENGES IN ANTI MONEY LAUNDERING, COUNTERING THE FINANCING OF TERRORISM AND COUNTERING THE FINANCING OF PROLIFERATION, AND THEIR IMPACT ON FURTHER SUSTAINABLE AND INCLUSIVE DEVELOPMENT OF THE ECONOMY OF UZBEKISTAN. Iqtisodiyot va Ta’lim, /2024- Volume II, 30.04.2024
Conference Participations, Scientific Talks:
- Khatamov A. THE ROLE OF ARTIFICIAL INTELLIGENCE BASED SOLUTIONS IN ANTI MONEY LAUNDERING COMPLIANCE. Vol. 1 No. DTAI (2024): DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE: PROBLEMS, INNOVATIONS AND TRENDS 1st international scientific - practical conference
- THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN BANKING SECTOR TO DETECT AND PREVENT FRAUD. Vol. 1 No. 1 (2024): “RAQAMLI IQTISODIYOT VA SUN’IY INTELLEKT TEXNOLOGIYALARINING JAMIYAT RIVOJLANISHIDAGI AHAMIYATI” MAVZUSIDAGI XALQARO ILMIY-AMALIY KONFERENSIYA
Other achievements:
- Certified Money Laundering Specialist, ACAMS, September 2023.
- ICA certified in Financial Crime Prevention. International Compliance Association, 2018
- ICA certified in KYC and Due Diligence. International Compliance Association, 2017
