TUCON: Predictive Trade Lifecycle Management

I switched over to the architecture stream to see the session on trade lifecycle management using BusinessWorks and iProcess, jointly presented by Cognizant and TIBCO. Current-day trading systems are under a great deal of stress because of increased volume of trades, more complex cross-border trades, and greater compliance requirements.

When trades fail, for a variety of reasons, there is a risk of increased costs to both the buyer and seller, and failed trade management is a key process that bridges between systems and people, potentially in different companies and locations. If the likelihood of a trade failure could be predicted ahead of time — based on some combination of securities, counterparties and other factors — those most likely to fail can be escalated for remediation before the trade hits the value date, avoiding some percentage of failed trades.

The TIBCO Event Fabric platform can be used to do some of the complex event processing required to do this; in fact, failed trade management is an ideal candidate for CEP since the underlying reasons for failure have been studied extensively and are fairly well-understood (albeit complex). Adding BPM into the mix allows the predicted failed trade situation to be pumped into BPM for exception processing.

The only thing that surprised me is that they’re not doing automated detection of the problem scenarios, but relying on experienced users to identify which combinations of parameters are likely to result in failed trades.

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