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Article made by our partner Dun & Bradstreet
However, recent global terrorist events and geopolitical instability have led to governments and regulators intensifying their efforts to root out financial support for criminal activity. Now more than ever, organizations need to know who really owns the businesses they deal with.
Even though the latest raft of global Anti-Money Laundering/Counter-terrorist Financing (AML/CTF) regulations and standards are widely based on the G20 Economic Forum/Organisation for Eco-nomic Cooperation and Development/Financial Action Task Force [G20/OECD/FATF) principles, there is little agreement on common thresholds. That means orga-nizations have multiple beneficial owner-ship compliance regulations to manage.
What's more, they have created a prob-lematic paradox. Despite the requirement for granular identification and verifica-tion intensifying, access to information is still limited. Information held in company registries, financial institutions, Trust and Company Service Providers (TCSP), regu-latory bodies, or various authorities often contains unreliable or incomplete data. Worse still, many of these sources have limited or no access to offshore entities.
While calculating UBO is relatively straightforward for a publicly listed company with direct shareholders, it be-comes more complex when ownership is obscured by layers of indirect ownership. Simply put, the legal title to a company may not be in the name of the person who actually controls it. It may even be in another company or trust located in a different jurisdiction, most commonly an offshore tax haven. For example, multi-level indirect shareholding (looping rela-tionships) utilize legal corporate vehicles that enable organizations to create a loop in which they own holdings of other com-panies in the same loop, as well as poten-tially shares in themselves. By tallying the ownership percentage of each company, most but not all organizations in the loop will derive 100% of their ownership entirely from other companies (not individuals) in the loop. Where they don't, the shortfall represents the percentage that the share-holder registry states are owned by individuals. These quoted percentages will be lower than what the individuals actually own and control if they're the only people associated with the loop.
Such ownership structures present high levels of risk and, therefore, require greater scrutiny by compliance teams to demon-strate all reasonable measures as part of enhanced due diligence. What is clearly obvious is that applying a traditional resource-intensive manual approach and reliance on self-certification is no longer sustainable.
Companies need the ability to instantly calculate the actual ownership by access-ing data that pulls together global corpo-rate linkage and personal share ownership. By harnessing data analytics software to automate the identification and verifica-tion of beneficial ownership, organizations are able to beat the paradox and makes sense of the opaque nature of ownership.