The client is an American, multinational, investment bank and financial services company. It needed to upgrade its surveillance systems to be able to detect illegal trading in business quickly.
The client’s surveillance systems were unable to detect illegal trading in the business. This issue could have resulted in regulatory penalties and it was damaging the brand identity.
We, at Mphasis, helped the client in identifying trades that had a higher probability of being fraudulent. Our solution comprised of:
• Strategy and proof of concept services
• Tools and technologies included scikit-learn, TensorFlow, XGBoost, and Python
Through our data strategy solutions, the client received benefits such as:
• Reduced risk to revenue
• Replicated trading alerts with 99 percent accuracy using test data
• Increased operating margin
• Enhanced shareholder and customer satisfaction
• Increased effectiveness