Preventing First Party Lending Fraud Using Data

Traditional rules-based monitoring methods are ill-equipped to detect today’s organized, cyber-enabled fraud. As a result, institutions struggle to mitigate the risk that networks of criminal activity represent, and they are hampered by labor-intensive analytical processes born out of an inability to establish a holistic view of hidden risk. As regulators turn their attention to intelligence-led investigations, there is mounting pressure to use new technology that can drive value from data and streamline investigation processes.

In this ACFCS webinar, Quantexa’s David Manley (Fraud Solutions Lead) and Ivan Heard (Global Head of Fraud Solutions) discuss investigations and how to enable a step-change across the organization.

Topics addressed include:

1. How machine learning and anomaly algorithms can detect lending fraud at speed

2. Investing in lending fraud prevention: is it a P&L issue or can fraud compliance become a loss reduction function?

3. Managing risk during the Post Covid-19 drive for growth: Does increased trade have to lead to increased fraud?

4. Ways that technology can address these needs holistically and at the enterprise level

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