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Financial firms should leverage machine learning to make anomaly detection easier



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Bikram Singh
Contributor

Bikram Singh is the CEO and co-founder of EZOPS. He has built and managed operational services and technology solutions for banks, hedge funds, asset managers, fund administrators and custodians.

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the norm of the expected or the familiar. Anomalies can be the result of incompetence, maliciousness, system errors, accidents or the product of shifts in the underlying structure of day-to-day processes.
For the financial services industry, detecting anomalies is …

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