FD04.01- Detection of high risk individuals and legal entities

Description	FIU may like to identify new high risk individuals and legal entities not detected by reporting entities
Example Work Products	FD04.01.01 - Individuals/entities with large number of related individuals/entities FD04.01.02 - Individuals/entities with large number of related accounts FD04.01.03 - Individuals/entities using multiple IDs (greater than a threshold) FD04.01.04 - Individuals/entities using multiple addresses (greater than a threshold) FD04.01.05 - Individuals/entities using multiple telephone, email ids(greater than a threshold) FD04.01.06 - Common ID used by multiple customers FD04.01.07 - Common address/telephone used by multiple unrelated customers FD04.01.08 - Group of individuals always conducting transactions at the same time FD04.01.09 – Attributes of individuals/entities matching with persons known to be high risk FD04.01.10 - Individuals/entities related to high risk transaction patterns (refer FD04.02)
Notes	The related technology for detection of high risk individuals/entities are list screening software (refer FT04.01), OLAP software (refer FT04.02) data mining software (refer FT04.03).

FD04.02 – Detection of high risk transaction patterns

Description	FIU may like to detect suspicious transaction patterns not detected by reporting entities
Example Work Products	FD04.02.01 – Accounts with high velocity movement of funds (with occupation/ business, geography filter) FD04.02.02 – Accounts with high volume & frequency of transactions (with occupation/ business, geography filter) FD04.02.03 – New accounts with high volume & frequency of transactions FD04.02.04 – Sudden increase in value & frequency of transactions FD04.02.05 – Large cash deposits (with occupation/ business, geography filter) FD04.02.06 – Large cash withdrawls (with occupation/ business, geography filter) FD04.02.07 – Transactions just below the KYC/reporting threshold in multiple related accounts FD04.02.08 – Funds sent by multiple remitters to one recipient FD04.02.09 – Funds sent by one remitter to multiple recipients FD04.02.10 – High value and frequency of transactions by high risk customers FD04.02.11 – High value and frequency of transactions involving a country/location considered to be high risk from the money laundering or terrorist financing perspective. FD04.02.12 – Increase in value & frequency of foreign currency transactions in geographical areas identified as narcotic activities zone.
Notes	The related technology for detection of high risk transactions or accounts are OLAP software (refer FT04.02) and data mining software (refer FT04.03) The relevant functionalities of data mining software are: Ability to discover new patterns in the dataset (detect untrained patterns) and identify defined patterns in the dataset (trained patterns) Ability to detect patterns from time series transactional data set over a defined time period for particular individuals / groups Ability to learn a pattern from examples and using the developed model to predict future values of the target variable using algorithms like regression analysis, neural networks, K-nearest neighbours

FD04.03 – Detection of high risk unstructured text

Description	FIU may like to identify high risk unstructured text in the reports
Example Work Products	FD04.03.01 – Dictionary of high risk key words FD04.03.02 – Reports with high risk key words and phrases
Notes	The related technology for detection of high risk unstructured text is text mining software (refer FT04.04) and web mining software (refer FT04.05)

FD04.04 – Identification of a new case

Дата добавления: 2015-11-14