Analysis of Factors Affecting the Anti-Money Laundering using the Managerial factors” Moderate Variable” in Iraq

Abstract

Research aims to diagnose the impact of ML dimensions in the availability and the uses of its components, also for the diagnosis of the elements of (available resources, managerial processes) which prevent the influence of this phenomenon, and poll the reality of anti- ML measures available and the use of its components (reasons of circulation, functions indicators, supervisory role, obstacles). Role of combat MLS and the dimensions of (placement, layering and integration) as legitimacy attempt to steal money in order to reveal in illegal money. The study sample included (57) relevant people from academic disciplines, management leadership, and monitors compliance in banks.The results showed that there are widespread dramatic ML in Iraq, which found to be of 85%, and that the main sources to ML are smuggling of oil, projects phantom reconstruction, gangs of kidnapping and extortion, also observed that the elements (reasons of circulation, supervisory role), have occupies the first place in reducing the effectiveness of the Anti-ML level, and then came (function indicators, obstacles). After that (placement) has achieved first class in facilitating ML, and then came (confused, merger), then the impact of managerial factors affect in the Anti-ML. Also the role of the resources available has played as moderate in the role of the Anti-ML.Research recommends that financial institutions be able to exchange information with other countries, in order to know their customers, identify controls on the basis of the degree of risk, and the bank must verify the "identity of the customer," if necessary, to monitor transactions for any suspicious activity. Often called the name of the "know your customer, and the training of bank staff on the Anti-ML, and record-keeping and the development of instructions and reporting suspicious activities. The adoption of modern IT, which helps monitors compliance with the Anti-ML for the detection and reporting of such crimes