Bloomberg Capturing Rich Market Data
School:
School of Computer and Information Sciences
Category:
Corporate SponsoredPrimary
Project Overview
One Liner: Our project automates key insight extraction in Listed Derivatives, boosting data ingestion efficiency and client-facing data quality for Bloomberg.
Abstract
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.
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