Eurex Frankfurt AG

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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Swap Data Was Supposed to Deliver Transparency. A Decade Later, Regulators Are Still Trying to Use It

For more than a decade, regulators have collected vast quantities of derivatives transaction data through swap data repositories (SDRs) mandated by post-crisis financial reforms. Yet despite the scale of these datasets, transforming reported trade data into meaningful supervisory insight has often proved more difficult than policymakers anticipated. A new Memorandum of Understanding (MOU) between the...

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Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...