Bad Behavior Database Aims to Stop Rogue Traders Before They Act
- Goatherd who made it at Goldman uses AI as surveillance tool
- Behavox challenge is getting banks to share information
You’re young and want to get ahead. First in and last out of your Wall Street office. You work weekends and message colleagues with inspired trading ideas at all hours. Guess what? You’ve just marked yourself as a potential rogue trader.
Welcome to the brave new world of trader surveillance, where former Goldman Sachs Group Inc. research analyst Erkin Adylov is building a library of banking villainy based on the behaviors of hundreds of past miscreants such as UBS Group AG’s Tom Hayes and Societe Generale SA’s Jerome Kerviel. Using thousands of inputs, from stress levels in voice recordings to the frequency of visits to the staff canteen, Adylov and his team at startup Behavox grade employees on how likely they are to go bad before they do anything wrong.