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A LEADING BANK ENHANCED MARGINS AND REPLICATED TRADING ALERTS WITH 99% ACCURACY

CLIENT

 

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.

BUSINESS CHALLENGE

 

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.

SOLUTION

 

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

BENEFITS

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