SAS Anti-Money Laundering (SAS AML)

SAS Anti-Money Laundering is a product for solving of tasks in the field of counteraction of legalization (washing) of income gained in the criminal way and to financing of terrorism^[1].

The solution helps:

• consolidate data from sources,
• clean and integrate into the single database,
• create warnings,
• configure rules of detection of schemes of washing,
• provide the interface of investigation and reporting,
• provide means for the profound analysis and detection of new schemes of money muling.

Representation of SAS Visual Analytics for Anti-Money Laundering, 2013

For the organization of data storage in the solution SAS Anti-Money Laundering the specialized logical model is used. Its main characteristics:

• Completeness. All information which not only is used at a stage of identification of suspicious transactions is stored in a system, but also allows the user to make detailed investigation, to obtain the additional information on the analyzed entity (the client, the account or transaction) and to make the decision whether this transaction is suspicious or not. Use of industrial DBMS allows to provide the set depth of data storage and gives the chance to analyze data for a long time frame. For example, for the behavioural analysis for the purpose of counteraction of legalization of income historical data in 3 months, and are necessary for the analytical modules which are composition such as<модуль слежения за перемещением средств> (Funds Tracker) - in 6 months;

• Transparency. On all main entities change control is conducted and all history of these changes remains in a system. In case of warning generation all information connected with warning remains in the separate structures assuming more long storage. It allows to provide further in case of audit all necessary information on the investigated warnings. By default storage life of all information connected with warning makes 5 years;

• Performance. The data model is optimized for work with not regulated requests which are created by users to a system within the work on counteraction of legalization of illegal income (investigation of warnings);

• Openness. The data model of the solution is expanded the attributes reflecting specifics of the Russian accounting and allows to carry out completion both within an implementation project, and at the subsequent stages of functioning of a system (for example, at introduction of amendments to the legislation).

Monitoring of transactions and behavior of subjects or in terms of the solution - process of generation of warnings (Alert Generation Process) — is implemented in the form of the batch job which on a regular basis analyzes initial data and on the scenarios registered in a system generates warnings (the scenario - an algorithm which by the set criteria allows to identify one or several transactions as the suspicious scheme).

Screenshot of the program window, 2014

SAS Anti-Money Laundering the open system also allows to include/switch off, add new scenarios, to set parameters and to configure frequency of execution. As a part of the solution big library of ready scenarios, it constantly is replenished, including, taking into account experience of implementing solution in the Russian market.

Screenshot of the program window, 2014

For investigation of warnings in a system the convenient, intuitive and completely localized interface is created. Within investigation process the user sees all information, both on the warning, and on the entities connected with this warning. If the user for decision-making needs to analyze optional data, a system gives an opportunity to create not regulated requests to the data which are stored in the database. In process of work on warning it is possible to attach documents to it (for example, the scanned version of the agreement), to create the obligatory report or to pass on warning to other user, accompanying with comments.

Notes