Finastra Uses Machine Learning for Fat-Finger Detection
The new piece of technology aims to tackle issue of erroneous trades at the source.
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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