 Cash Transaction Reports
CTRs represent mandatory filings on amounts over $10,000. Their structure, content, and format are very similar to other cash transactions such as SARs. This briefing discusses the utilization of CTRs, their specific representations, and how they can be used in advanced analytics to help identify potential money laundering targets.
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Combating Financial Crimes
This keynote presentation was delivered at the Pacific Rim Conference on Money Laundering & Financial Crimes held in Bangkok, Thailand from March 24-26, 2003 and was attended by approximately 600 participants from over 30 countries. The theme was "The Impact of Financial Crime on International Security and the Global Economy: Public and Private Industry Working Together."
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Customs & Homeland Security
There are a wide range of analytics that can be performed for organizations such as Customs and Homeland Security including the investigation of narcotics trafficking activities, exposure of illegal foreign currency exchanges, detection of covert smuggling practices, and analysis of various terrorism-related events. This briefing provides several examples of how analytical systems can be applied to these types of applications to help Customs and Homeland Security better pursue criminal behavior.
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Excise Tax Compliance
This example shows how to understand and detect tax compliance for collecting excise fees (VAT) based on the distribution of fuel solvents. In many nations, gasoline and other energy products are taxed and form a significant portion of the revenue base required by the government to fund transportation projects. Diluting the fuel with certain types of solvents that are not taxed diminishes the revenue base, potentially harms the environment, and fraudulently represents the product being sold. These slides show how distribution networks can be tracked and analyzed.
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FIU Operations in a Box
This presentation discusses the need for, and implementation benefits of, a standard approach to data analytics from the perspective of Financial Investigations Units (FIUs). This presentation explores solutions to the obstacles encountered during implementation of technology solutions through an in-depth understanding of the goals and objectives of world-wide FIUs.
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Phishing - IP Trace
Everyone has received e-mail spam requesting an account update or to confirm specific personal information. The related URLs take you to a fake web page and require you to enter bank account numbers, credit card numbers, social security numbers, usernames/passwords, PINs, and other personal information. This briefing shows examples of how to track, trace, and analyze the URL network to target phishers.
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Illegal Smuggling Patterns
Smuggling takes on many different forms ranging from narcotics trafficking and counter-terrorism to illegal migrants and border integrity. This briefing provides an overview of different approaches for detecting smuggling patterns and how the inter-relationships among people, vessels, containers, consignees, addresses, and other data types can be used to expose smuggling behaviors. Applications include homeland security, customs, and immigration.
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Money Laundering
Suspicious Transaction Reports (SARS) are filed by banks and financial institutions around the world. This data is analyzed by Financial Intelligence Units (FIUs) to look for patterns of money laundering and financial crimes. These examples present different types of situations that occur in SAR data that indicate suspicious behaviors, structural anomalies, or unexpected connections. Additionally it shows data combined from multiple sources as well as temporal patterns.
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Office of Foreign Assets Control (OFAC)
OFAC (Office of Foreign Assets Control) tracks the names of Specially Designated Nationals (SDNs) that are considered high-risk individuals, organizations, or vessels. These entities must be compared against a variety of commercial events ranging from financial transactions to air travel to determine if the SDNs are actively involved in any way and then reported to the proper authorities. This VisuaLinks example shows several aspects about the OFAC data including inter-related networks (Network Miner), similar names (Name Matcher), and other related data.
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Prescription Claims
This example reflects some of the different types of patterns that can be exposed in fulfilling medical prescriptions using a limited subset of an insurance database. The patterns are based on the co-occurrence of prescription medications, frequency of fulfillment, and distribution of the pharmacies. Each patient exhibits different types of patterns than can be viewed and interpreted for fraud, substance abuse, or dangerous drug combinations.
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Stock Exchange
This example depicts how an investigator would go about spotting patterns based on stock transactions, broker dealing, and trader interactions. The goal is to look at the structural and behavioral patterns associated with the traders to determine if there is collusion, price manipulation, or other forms of indiscretion in their representation of stocks. Additionally, the same analytical approaches can be used to ferret out unscrupulous brokers in the marketplace.
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Wire Transfer Analytics
Wire transfers are a common way to send money for a variety of purposes including beer money for college students or paying local utility bills. It is also a way for people to launder money and conduct illegal business activities. Most recently money service businesses are required to submit suspicious activity reports (SAR-MSBs) to the government when any unusual financial activities are detected. The following presentation provides a review of how raw wire-remitter and wire-transfer data can be analyzed and presented to help expose questionable behaviors.
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