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How AI’s early warning capabilities are helping banks predict market shocks

May 1, 2025
May 1, 2025
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AI Reshapes Financial Risk Management with Real-Time Insights and Predictive Precision

Vikas Krishan, Chief Digital Business Officer

AI is revolutionizing risk management in financial institutions, boosting predictive accuracy to around 85% for short-term market trends (IMF, Oct 2024). It enables real-time threat detection, dynamic response to market volatility, and streamlined processes, especially in retail banking and emerging markets. However, integrating AI into legacy systems and meeting regulations like the EU AI Act remain major challenges. Reflecting on events like the 1998 LTCM crisis, the article emphasizes the need for robust oversight to avoid over-reliance on models. Scalable AI requires strong validation and governance. Institutions that balance innovation with compliance will shape a more resilient financial future.

Read more on financederivative.com

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Amit singh

“Amit Singh is the Chief Strategy Officer and Chief of Staff to the CEO at Altimetrik, where he drives corporate strategy, growth acceleration, and value creation through transformation initiatives. In this dual role, he partners closely with leadership teams, investors, and the board to align business strategy with sustained, technology-driven growth.

With over two decades of experience at the intersection of technology, business, and transformation, Amit brings a unique perspective on how organizations can innovate and adapt in a rapidly evolving digital landscape. His career has been defined by building high-performing teams, scaling innovative platforms, and driving organizational change to deliver lasting impact.

Before joining Altimetrik, Amit held senior leadership roles at Visa, where he led technology strategy, engineering, and product development for Real-Time Payments and the Visa Developer Platform. Earlier, he served as Chief Product Officer at a startup and spent more than a decade at Oracle, leading product and engineering teams across a wide range of enterprise software applications.”

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