Using genAI for post-trade processing could reduce failures, fines

Shortening settlement times are pressuring firms to do more, faster. IBM’s Soren Mortensen argues that genAI and ML can help eliminate errors and speed up post-trade processes.

Post-trade processing in capital markets is inherently complicated. Multiple parties—including brokers, banks, clearinghouses, custodians, and central securities deposits—must handle and move data quickly to successfully transfer ownership of securities from the seller to the buyer.

Recent regulatory requirements, such as the Central Securities Depository Regulation (CSDR), add to the complexity. Officially implemented in February 2022, the CSDR’s settlement discipline regime established daily

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How GenAI could improve T+1 settlement

As well as reducing settlement failures, IBM researchers believe generative AI can provide investment managers with improved research, prioritization, and allocation resources.

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