About a-team Marketing Services
The knowledge platform for the financial technology industry
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: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

When 1% Breaks the Fund: The Sanctions Contagion Facing ETF Issuers

Roy Kirby, Head of Core Products at SIX Group, has spent the past four years watching sanctions transform from episodic geopolitical tools into a structural feature of market risk. In sharing insights with RegTech Insight, he sets out how the acceleration and layering of sanctions since 2022 are reshaping compliance obligations for ETF issuers and,...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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...