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Trust, in-person interactions, reasonably good response levels, absence of alternative options – were some of the reasons that brought people to banks before the era of digital and banking domain monopsony. The strategy worked well and it helped create predictable growth and profitability – until the level playing field tilted.

“Will the bank branch survive?” has been a decade long (if not more) topic of debate. Physical branch networks worldwide are being impacted by the shift to digital transactions. However, there has also been rising customer expectations for better in-person experiences at branches shaped by other retail experiences.

Given the response strategies to the COVID-19 pandemic implemented by federal, state and local governments globally, consumers’ behavioral changes during this phase, and Financial Institutions’ (FIs) staffing and mobility constraints, fraud prevention must be tackled in a different manner.

Loan fraud is impacting smaller banks, community banks and credit unions at twice the rate of larger counterparts. An innovative approach helps smaller financial institutions do more to detect fraud hidden in bad loans to reduce losses and increase approval rates.

As per ACFE’s last Report to the Nations, fraud is a staggering $ 4 trillion global problem – a size and scale astronomical enough for every bank to seriously rethink their entire fraud risk management approach. Let’s take a look at the top 5 implementable best practices that make for the foundation of a robust banking enterprise anti-fraud framework.

Business intelligence (BI) solutions are not new to banking. With a blend of tools, techniques, and technology, BI processes information with accuracy, which otherwise would have been performed by humans. BI solutions have been enabling banks with capabilities to generate more revenue, reduce costs, mitigate risks, and more.

Open banking (under the European Union’s Revised Payment Services Directive or PSD2), means third parties can link up to customers’ accounts, provided the customer consents. With data-sharing as the central feature, open banking is designed to encourage higher product and service innovation, make it easier for non-banks to participate and streamline user experience.

The business value of anomaly detection use cases in banks is obvious. From credit card fraud to check fraud to money laundering to cybersecurity, precise and quick anomaly detection is necessary to conduct business, protect customers and protect the bank from potential losses.

Cross-border payments form an enormous chunk of transnational cash flow. However, the boon has not been without a bane – the risk of fraud.

Increasing instances of related party transactions (RPT) fraud in banks seem to be making the old ‘blood is thicker than water’ saying truer by the day.