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Predictive fraud analytics: B-tests

Author

Listed:
  • Sergey Afanasiev
  • Anastasiya Smirnova

Abstract

In the banking sector, machine-learning methods are applied in a wide variety of business areas: assessing a client’s risk profile (application and behavior scoring), forming targeted sales (x-sell, up-sell), choosing collection strategies (collection scoring), etc. The bank anti-fraud division is no exception, where with the help of machine-learning methods effective anti-fraud tools are developed. This paper deals with B-tests: methods by which it is possible to identify internal fraud among employees and partners of the bank at an early stage.

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Handle: RePEc:rsk:journ3:6036926
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File URL: https://www.risk.net/system/files/digital_asset/2018-12/Predictive_fraud_analytics_B_tests.pdf
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