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A leading global investment bank sought to strengthen its position in the automotive asset-backed securities (ABS) market.

The objective was to create a retail-ready strategy for an asset manager to effectively raise funds by repositioning an Asia-focused bond offering for mass affluent investors while meeting retail distribution and compliance requirements.

The adoption of artificial intelligence (AI) in banking and finance has reached scale, with 58% of finance functions actively using the technology and around two-thirds of banks advancing their generative AI initiatives.

The client required a standardized and scalable framework to bucket loan portfolio assets into high-, medium- and low-risk categories.

Regional banks in the United States nearing $100 billion in total consolidated assets should already be preparing for the Comprehensive Capital Analysis and Review (CCAR), rather than waiting for the regulatory clock to start ticking.

US regional banks are steadily expanding their private banking capabilities, making deliberate, expensive bets on the segment as the next engine of profitable growth. And at the heart of that bet lies a critical capability: to underwrite complex, bespoke credit for high and ultra-high net worth (HNW/UHNW) clients whose financial profiles look nothing like that of a standard borrower.