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Dr. David P. Doyle
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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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For years, financial institutions have invested heavily in cyber defences designed to protect their own perimeters. Firewalls hardened, endpoints secured, and internal monitoring intensified. But many of the most disruptive recent incidents have propagated through third-party providers, software supply chains, or shared infrastructure. They are aimed at the firms banks depend on. The exploitation of...
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Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.
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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...


