WatersTechnology

JavaScript is disabled in your browser. Please enable JavaScript to proceed. A required part of this site couldn’t load. This may be due to a browser extension, network issues, or browser settings. Please check your connection, disable any ad blockers, or try using a different browser.

Mercury is retrograde in Cancer, which is why you feel like that. Could also be the heat. Good luck. What you might have missed this week Broadridge delivers new reconciliation platform to Raiffeisen Bank International Broadridge Financial Solutions announced that Centralised Raiffeisen International Services & Payments (CRISP), the shared service center for Raiffeisen Bank International, has upgraded to Broadridge’s new reconciliation platform, BRx Match.

MUFG appoints first chief data & AI officer Mitsubishi UFJ Financial Group (MUFG) has appointed Prasad Uddaraju as the company’s first chief data and artificial intelligence officer. Uddaraju brings more than two decades of experience modernizing enterprise data platforms, advancing analytics capabilities, and strengthening data governance across leading global financial institutions. Prior to joining MUFG, Uddaraju served as managing director of data & analytics at JPMorgan Chase & Co., and as

Mergers and acquisitions among financial institutions are gaining momentum in 2026, as firms pursue consolidation, portfolio repositioning, and strategic deals to stay competitive. More specifically, M&A activity within wealth and asset management increased 15% year-over-year in 2025. Periods of consolidation and shifting regulatory pressure present a unique opportunity for institutions to reassess how they manage data.

Agentic AI promises to transform the calculation of derivatives valuation adjustments (XVAs). But questions about model validation, accountability and regulatory readiness mean practitioners could wait up to five years to see the technology in full use, experts say. XVA pricing adjustments capture the cost of counterparty credit risk, funding and capital for derivatives portfolios, and are among the most computationally demanding calculations that banks run. Marcus Cree, a risk specialist at FIS

Mitsubishi UFJ Financial Group (MUFG) has designed a proprietary version of Anthropic’s Claude Code AI harness because the coding tool was too effective at accessing information and bypassing the bank’s security and compliance guidelines. Stu Taylor, the bank’s new head of global markets AI for all regions except Japan, tells WatersTechnology that while the AI tools the bank utilizes are all human-in-the-loop, public agentic AI “harnesses”—tools like Claude Code, Cursor, and GitHub Copilot

JavaScript is disabled in your browser. Please enable JavaScript to proceed. A required part of this site couldn’t load. This may be due to a browser extension, network issues, or browser settings. Please check your connection, disable any ad blockers, or try using a different browser.

As World War II raged across Europe, a team of code-breakers hunkered down in Bletchley Park, a country house in Milton Keynes, England. Their work was highly confidential but extremely valuable to the Allies’ wartime strategy. The team, which included famed English mathematician Alan Turing, would eventually decode the Germans’ Enigma cipher systems. The cracking of Enigma has become a legendary tale, credited with shortening the war by two to four years. But the English weren’t the only ones

This week is the epitome of British summertime sports, and nothing makes me happier. Wimbledon—the best Grand Slam, in my opinion—has begun. And even though there are no huge British players, Serena Williams returns to play doubles with her sister, and Djokovic will see if he can win his next Slam. Maybe a wild card will even sneak through the draw. Silverstone, the British Grand Prix, is also this weekend. Let’s hope at least one of the five British drivers makes it to the podium! And in World Cup

The Intelligence Fabric for Capital Markets is a scalable data and intelligence architecture that turns fragmented data into decision-grade intelligence. It closes the gap between AI ambition and data readiness, providing institutional investors, asset managers and service providers one governed, AI-ready foundation that can be trusted, traced, explained and defended.