Case Study

Trade based money laundering detection

Data | Banks | Amsterdam & Milan

The Background

  • A large, Netherlands based bank, with a global footprint, asked Quantexa to support them in the identification of fraud and money laundering activities within their Trade Finance book

The Challenge

  • Disparate data across multiple systems

  • No single view of the client across location

  • Lack of an understanding of fraud in the book

  • Limited ways of identifying fraud and, as such, no real early warning signals to identify and stop fraud

The Approach

  • Provision of a Quantexa and NextWave team 

  • Project scoping and planning

  • Data sourcing and cleansing

  • Delivery of the single client view



The Impact

  • Within a 6 month period, data was sourced, cleansed and channeled through the Quantexa platform

  • Deployment to production immediately led to numerous potential fraud cases being identified

  • Further use cases are now being deployed for Trade across other locations


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