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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

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The Performance Gap: How Data and Automation Are Separating Fixed Income Winners and Laggards

By Eugene Grinberg, Co-Founder and CEO, SOLVE. For decades, fixed-income markets rewarded opacity. Firms with the right relationships, proprietary data, or pricing advantages could generate outsized returns on a small number of well-timed trades. That model is breaking down. Fee compression, regulatory transparency requirements, and an explosion in available data have changed the basis of...

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RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...