London-based Synechron has launched a LIBOR accelerator using data science to address thechallenges of financial sector benchmarking. The accelerator for LIBOR Impact Analysis enables financial institutions to identify and quantify their LIBOR exposure at either a contract level or across all contracts within an institution. Thesolution leverages Optical Character Recognition (OCR) and three levels of Natural Language Processing (NLP) to identify and quantify LIBOR exposure at the contract level, or across all contracts within an institution.It then allows contracts to be revalued using alternative rates and valuation models for a significant reduction of manual LIBOR impact assessments.
A-Team Insight Briefs
Synechron Data Science Launches New LIBOR Solution
Date: 2 November 2021 Time: 11:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes As unstructured data floods into capital markets in the wake of traditional structured data, firms must manage both data types and ensure ease of access to extract data required for regulatory compliance efficiently and effectively. Beyond compliance, firms can...
Substantive Research, which released an ESG Provider Dashboard back in June with a view to helping asset managers compare different aspects of ESG data providers and draw up shortlists of companies that meet their needs for ESG data and analytics, has published the findings of an independent survey of the evolving ESG data provider marketplace....
DMS London brings together the European data management community to explore the latest challenges, opportunities and data innovations facing sell side and buy side financial institutions.
Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...