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

A-Team Insight Blogs

Bear Stearns to Implement GemStone For Risk Data Latency

Subscribe to our newsletter

Bear Stearns plans to implement GemFire Enterprise from data infrastructure company GemStone to manage in-memory data across its enterprise applications, initially focused on Global Clearing and Settlement Risk Analytics as well as Program Trading. Bear Stearns realised its daily batch-oriented risk reporting was coming under strain as trading volumes increased and regulatory requirements became more stringent. Using GemStone has reduced data latency, decreasing the time needed to run the batch reports, providing a clearer picture of the risk being assumed by various groups within Bear Stearns.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Bloomberg’s Kate Lee on Regulatory Data as an Operating Layer for Compliance and Reporting

Regulatory data has become a firmly established part of the control architecture of capital markets firms. As transparency rules diverge across the jurisdictions, liquidity monitoring becomes more granular, and supervisors demand stronger evidence of how figures are derived, firms are obligated to treat regulatory datasets as governed, versioned and explainable operating assets. In this Q&A...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...