Pavlo SidelovPryazovskyi State Technical University · Faculty of Economics
Pavlo Sidelov
Doctor of Philosophy
Driving FinTech Innovation as Co-founder/CTO of SDK.finance
Data Science and Machine Learning for FinTech and Banking
About
10
Publications
5,444
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22
Citations
Introduction
Artificial Intelligence and Machine Learning in Finance and Banking.
Automatization of the financial processes.
Additional affiliations
August 2013 - present
SDK.finance
Position
- Research Director
Description
- Fintech platform for Payment Services and Digital Banking
Education
September 2000 - June 2020
Institute of the Problems of Artificial Intelligence
Field of study
- Systems of Artificial Intelligence and Automated Systems
Publications
Publications (10)
Impact of European Union PSD3 on Industry and FinTech
ISBN 978-617-8187-06-4
Формування новітньої парадигми управління публічними та приватними фінансами в
Україні : матеріали ІV Всеукр. наук.-практ. конф. (8 грудня 2023 р., м. Хмельницький – м. Херсон) –
Херсон: Книжкове видавництво ФОП Вишемирський В.С., 2023. – 198 с.
MODELING CASH FLOWS IN ELECTRONIC PAYMENT SYSTEMS IN REAL TIME
The majority of payment solutions in the field of electronic money in Ukraine are implemented on top of card payment systems. At the same time, a number of factors, including the digitization of the economy, orientation towards the European vector of development, and the need to counter...
This research explores gross losses from payment card fraud worldwide and considers the main modern fraud methods. The issue of payment fraud will be exacerbated by the digitalization of economic relations, in particular the introduction by banks of the concept of "Bank-as-a-Service", which will increase the burden on payment services. The goal of...
Electronic payment systems have become an integral part of people's lives worldwide due to their simplicity and convenience. They allow for payments to be made at any time, regardless of location, without the need to visit a bank or exchange cash. They also provide secure payments using advanced encryption and authorization technologies. The volume...
DIGITAL PAYMENT CARD FRAUD: NEW VECTORS AND DETECTION
From page 67
ISBN 978-609-488-049-0
Mistake found:
Figure 8. First-party fraud and third-party fraud
Source: Authors’ own development
The correct signature for Figure 8:
Figure 8. First-party fraud and third-party fraud
Source: https://www.experian.com/blogs/insights/2017/09/whos-on-first/
The Banking and Payment business must standardize their messaging for better integration.
In this article you can find how ISO 20022 works and what inside the standard.
The monograph examines models of systems analysis in the management of economic
processes at the macro, meso and micro levels. Models of neural networks for solving the
problems of dynamic clustering of economic systems by the level of resistance to the impact
of "shocks", machine learning models for managing the safety of socio-economic systems,
m...
English version:
The article is devoted to the actual problems of data reconciliation in electronic payment systems. The aim of the work is to develop a model for the process of data reconciliation in electronic payment systems based on natural language processing methods and ensure its integration into payment transaction processing systems. With...
Data on global financial statistics demonstrate that total losses from fraudulent transactions around the world are constantly growing. The issue of payment fraud will be exacerbated by the digitalization of economic relations, in particular the introduction by banks of the concept of "Bank-as-a-Service", which will increase the burden on payment s...
This research main goal is to give an a vision of current state of Electronic Banking with analysis of the modern state of Open Banking and Open application programming interface (API) initiative. The tectonic shifts in regulation from Central banks and governments digitalisation strategy required from financial institutions to became more technolo...