Trading Fraud Detection

Project Details

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PROJECT DESCRIPTION

Financial Regulatory Authority regulates trading on most US stock exchanges including NASDAQ and NYSE. It the organization operates one of the largest data warehouses in the world with petabytes of data coming in every second.

We helped to built Insider Trading and Fraud Detection system that allows analysts to quickly find potential violations among billions of trades. Pattern detection applications run against the data warehouse to automatically catch violations and start investigative process. Search, data visualization, charting, slicing and dicing and caching was done on the user interface to make analytics painless and engaging. HTML5 and extensive JavaScript coding were employed to build rich user experiences with backend typically built in Ruby or Java.

UX design

UI design

Development

Data Science