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For many years, banks have been targeted by criminals. Fraudulent activity is becoming increasingly sophisticated and perpetrators regularly change their methods to target a diverse set of product business lines. No area is safe. Traditional rules-based approaches, applied to transactions and applications in isolation, do not provide adequate protection from large financial losses and reputational damage. With banks vulnerable to attack externally and internally, a more sophisticated approach is needed.
If a bank is assessing a customer in early payment default, how can you tell if they are under credit stress, or if they have defaulted intentionally?
Quantexa apply their market leading real-time entity and network analytics technology. Our approach allows you to assess your customer’s full history (entity) and in the context of their relationships (network). For example, if the customer is connected to five individuals via shared contact information or transactional activity, and all these customers have gone in to early payment default, this is much more likely to be organised criminal activity rather than unlucky customers falling on hard times.
- A reduction in false positives
- An increase in the amount of fraud found
- A more efficient investigations process
- Unsecured retail loans, overdrafts and credit cards.
- Secured lending, e.g. mortgages.
- Corporate lending.
- Trade finance lending.
- 1st and 3rd party application fraud
- Bust-out fraud
- Insider fraud
- Mule fraud