Our project automates key insight extraction in Listed Derivatives, boosting data ingestion efficiency and client-facing data quality for Bloomberg.

Our project aims to automate the extraction of key insights from unstructured exchange memos in the Listed Derivatives space. By developing extraction models, we aim to streamline data ingestion, enhance efficiency, and improve the quality of client-facing market data for Bloomberg’s Futures & Options business.

Bloomberg receives public exchange memos that provide valuable data that Bloomberg currently utilizes partially – and manually. The Futures & Options business team at Bloomberg wanted to automate the extraction of key insights to bypass and streamline these current manual procedures.

Team Members

Advisors