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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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Institutions Are Already in Prediction Markets – As Data Consumers, Not Traders
The framing around institutional prediction markets assumes a gap that needs bridging: the markets exist, institutions are circling, and what stands between them is a stretch of missing infrastructure – clearing, margin, prime brokerage and surveillance. Build the scaffolding, the assumption runs, and the institutions follow. A panel at A-Team Group’s recent TradingTech Summit New...
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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.
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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...



