An AI-first approach to model risk management

Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux

Artificial intelligence is creating new opportunities across a wide range of use cases in the financial industry. Leading firms are looking for opportunities to better balance innovation with risk and to more rapidly scale AI, while preserving—or improving—employee and customer trust.

Yet with innovation come many institutional challenges, especially in risk management.

This article sets out practical considerations for setting up an effective AI risk management governance framework and highlights

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A tech revolution in an old-school industry: FX

FX is in a state of transition, as asset managers and financial firms explore modernizing their operating processes. But manual processes persist. MillTechFX’s Eric Huttman makes the case for doubling down on new technology and embracing automation to increase operational efficiency in FX.

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