Finastra Uses Machine Learning for Fat-Finger Detection
The new piece of technology aims to tackle issue of erroneous trades at the source.
![Nadeem-Syed](/sites/default/files/styles/landscape_750_463/public/2017-06/Nadeem%20Syed%20Finastra.JPG.webp?h=ea0b3e64&itok=FV2YkcDC)
Named FusionCapital Detect, the algorithm uses machine learning to track clearly erroneous trades before they can go through the entire post-trade process—and halt them before they become a headache for treasury departments and possibly end the careers of clumsy traders.
Finastra, which was formed in mid-2017 through the merger of Misys and D+H, is preparing to sign its first deal for the product, which began through its Fusion Reactor innovation program, Nadeem Syed, the company’s chief
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