Like all banks, one of Belgium’s biggest banks is constantly faced with new fraud threats whereby criminals are trying to steal from their unsuspecting clients. In addition, the European enforcement requires banks to provide instant payments to their customers.
1. We built a real-time fraud detection app
3. And provides them with advanced capabilities without having to deal with coding
2. That is easy to use for the bank’s data scientists
4. So that they can swiftly apply the most current business requirements themselves
”“Things work out best for those who make the best of how things work out.”— John Wooden
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Behind the scenes
We created a high-level domain-specific language (DSL) workbench using Apache Flink.
This enables the bank’s low-code data scientists to easily interact with a complex streaming data processing pipeline for online payment fraud detection.
The app comes with a local continuous integration / continuous deployment (CI/CD) environment to develop, test, and analyze data in a scalable technology.