Financial Misconduct Identification

The Problem

Our client, a financial services organization specializing in artificial intelligence, was looking for a partner to help them to adapt their risk identification system to six different languages. The system has been used to detect misconduct in internal data sets in English by making use of different keywords and their combinations. The syntax of the language that is used in this system is a mix of technical rules and financial lexicon, allowing the user to find information in a more direct and effective way.

The Solution

The client acknowledged that the success of the whole project and risk management practice depended not only on the design and implementation, but also on the quality, experience, and continuity of the personnel involved. We were able to provide fifteen specific linguistic and financial profiles for this project in three weeks.