The Financial Conduct Authority (FCA) has renewed its data strategy published in 2013, taking into account the evolution of technology and aiming to transform how it works. The new strategy will be delivered over five years and is designed to make the FCA smarter in the way it uses data and advanced analytics so that it can transform how it regulates and reduce the burden on firms. The initial focus includes increasing data science resources, developing data and analytics skills, and deploying new tools. The FCA has also started work on a new data collection platform that will replace Gabriel.
A-Team Insight Briefs
FCA Renews Data Strategy
Financial institutions today face a global regulatory landscape characterised by rigorous and varied reporting requirements across their businesses. Reporting challenges include completing more data fields across more lines of business with greater frequency, adding complexity and cost. At the same time, there is waning tolerance among supervisory bodies for errors, issues or delays – as...
S&P Global Market Intelligence Extends Marketplace with Focus on Collaborative Data Analytics, AI Solutions and ESG Data
S&P Global Market Intelligence has extended the marketplace it released in May 2020 with the addition of a workbench that supports collaborative data analytics, a Kensho machine learning solution for textual data, and 25 data sets and solutions. A new query library helps users search a catalogue of pre-built code queries to speed up data...
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...