Major Swiss Bank

Identifying clients that are most likely to have financial problems through an automatic model based on warning indicators to alert credit officers earlier

Challenge

• Regulations require the client to setup surveillance for money laundering and illegal activities
• Disparate data sources and formats, and varying regulations between countries
• Inability to monitor client behaviour to spot illegal activities

Solution

• Leveraging a previous project Unit8 conducted (Single Client View), built a generic framework enabling data scientists to easily define surveillance scenarios to monitor potential high-risk client activities
• Pipeline specifically designed to scale to millions of customers tracking billions of equity positions globally

Business Impact

• Greatly reduced amount of time needed to define surveillance scenarios, from weeks to minutes
• Reduced resources required and build-time of pipelines by more than 50%
• Improved reliability of scenarios
• Decreased manpower necessary to conduct surveillance audit by a factor of 20