About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

London Stock Exchange Group Launches Historical Analytics via Snowflake

Subscribe to our newsletter

The London Stock Exchange Group (LSEG) has introduced a Historical Analytics solution, available via the Snowflake platform. The offering integrates LSEG’s Pricing Services with Yield Book Analytics to deliver over 20 years of pricing data for more than 2.9 million bonds. By leveraging Snowflake’s cloud infrastructure, customers gain flexible, streamlined access to a powerful, unified analytics service.

Historical Analytics supports diverse use cases, including regulatory reporting, risk management, security valuation, portfolio analysis, and index strategy development. It enables accurate regulatory reporting, portfolio performance evaluation, trade strategy assessments, and historical simulations for custom benchmark creation. This solution is designed to meet the evolving needs of financial institutions by providing advanced analytics in a convenient and scalable format.

Emily Prince, Group Head of Analytics at LSEG commented: “The combination of Yield Book’s trusted, in-depth analytics and LSEG’s expertise in evaluated pricing delivers a robust and comprehensive suite of tools to empower clients. These tools allow customers to back-test portfolios, optimise strategies, and manage risk effectively. By offering this through Snowflake, we ensure seamless access to advanced analytics, enabling more efficient, scalable, and integrated solutions for our clients.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of...

BLOG

Platform-Led Strategies for Solving Market Data Fragmentation, Cost and Governance Challenges

For any Chief Data Officer or Head of Trading Technology, the line item for market data is both one of the largest and most complex to manage. The challenge is no longer simply about plumbing feeds into applications. It is a strategic imperative to control spiralling costs, integrate a chaotic mix of traditional and alternative...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Entity Data Management Handbook – Seventh Edition

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...