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Case studies
Financial institutions must be able to detect and prevent sanctions circumvention by flagging up and preventing potential attempts for resubmitted rejected payments.
From large multinational companies to small independent firms, OpusDatum provides the right people and teams at the right time.
We were engaged by the client to assist in the development of an effective anti-bribery and corruption (ABC) programme.
Trade finance has increasingly come under the regulatory spotlight as a channel for money laundering, bribery activities and potential breaches of sanction regimes.
You send and receive hundreds of thousands of messages everyday, so how do you know the right ones are screened?
Look-back reviews are often required by regulators when they determine that a financial institution does not have an adequate transaction monitoring or screening programmes.
Risk assessments provide financial institutions worldwide with a comprehensive means of measuring, understanding, and explaining their financial crime risks relating to money laundering and sanctions.
Big Data analytics is the use of advanced analytic techniques against very large, diverse data sets. These include structured, semi-structured and unstructured data, from different sources. They vary in size from terabytes to zettabytes. It can be mined for information and used in machine learning projects, predictive modelling and other advanced analytics applications.