Organization of Work to Combat Fraud in a Financial Institution

The object of the research is the technology of remote banking and remote provision of financial services, the subject of the research of the article is methods and means of countering fraud. The author examines in detail the main reasons for successful fraudulent transactions, analyzes the main tools of counteraction, determines the indicators of the analysis of the effectiveness of counteraction, suggests ways to solve the problem. The article discusses in detail the algorithms of fraud analysis and determines the optimal model for analyzing fraudulent transactions. Particular attention is paid to the analysis of the reasons for the growth of fraudulent transactions in the field of remote provision of financial services. The author defines the directions for improving the anti-fraud system, including proposals for finalizing the legislation of the payment sphere. The article also describes the main fraud schemes and current threats that contribute to the commission of fraudulent transactions.   The main conclusions of the study are: 1. The only direction of countering fraudulent transactions in the financial sector is a fraud analysis system based on risk assessment of the client and his operations based on artificial intelligence models, indicators of fraudulent transactions and rules for their use, as well as risk-oriented authentication of the client and his operations. 2. Fraud analysis allows you to effectively protect the client not only from the actions of an attacker, but also from your own actions committed under the influence of social engineering methods. 3. Financial organizations do not use their rights to prevent fraudulent transactions that are committed by clients of a financial organization under the influence of social engineering methods. A special contribution of the author is proposals regarding the improvement of legislation in order to counter fraud. The scientific novelty of this work lies in the development and justification of an optimal anti-fraud system, taking into account existing fraud schemes, indicators of the effectiveness of anti-fraud.