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We help businesses overcome technology related challenges, and our proficient team is committed to ensuring that no business is hindered by technology, irrespective of their expertise, experience, or background.
We help businesses overcome technology related challenges, and our proficient team is committed to ensuring that no business is hindered by technology, irrespective of their expertise, experience, or background.
Our client is a global investment bank and financial services firm.
Investment banking trading uses numerous communication channels to conduct business. Many of those communication channels are not monitored for compliance with trading regulations. Bloomberg Chat is a popular instant messaging platform that investment bankers use to communicate with one another and potentially conduct business. Our client wanted to strengthen their surveillance of trader activity to identify a trader’s deal intent during instant messaging discussions.
Our team, in collaboration with our client, prepared a Natural Language Processing (NLP) solution to monitor Bloomberg chat records. Our AI coworking solution helped compliance officers at the bank spot potential trading intent in their communications.
The NLP solution extracts and compiles a weekly report showing all deal intents from non-electronic trading channels. The report captures the true intent and complete product information using advanced machine learning algorithms.
Here is a list of surveillance items the ML algorithms were processing and identifying in the chat data:
True Deal Intents
Financial Products Mentioned
Distinguishing the Unreported and Mass Data
Flagging the Responsible Person
To generate the weekly report, the NLP model automatically processes an enormous amount of data, specifically 10GB of Bloomberg Chat records. This ensures that a thorough analysis is conducted and accurate insights are derived. The primary objective of this project is to fulfil a regulatory requirement by reporting all communications that contain deal intents to the regulator in a 'Request for Quote' (RFQ) format. This ensures transparency and compliance with the necessary regulations governing the industry.
Our client was very satisfied with the results of our solution. We provided a solution that reduced the client's regulatory risk, lowering the likelihood of financial and reputational loss. The solution added data insights that could be used in many other current and future trader surveillance and regulatory tools.