Materials inspired by nature, or biomimetic materials, are nothing new. Scientists have designed water-resistant materials ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...

Overview Finance and data science convergence creates high demand for analytics-driven decision-making professionals globally.Strong technical skills plus marke ...

"The biggest risk is not taking any risk ... the only strategy that is guaranteed to fail is not taking risks," advised Mark Zuckerberg.Every story has a beginning. Every story has an element of risk.

Marathon Asset Management founder and CEO Bruce Richards has raised alarm bells about the private credit sector’s heavy exposure to the software industry, warning that default rates in ...

Bangladesh Bank has taken a new initiative to further strengthen credit risk management in the country's banking sector. The central bank has decided to introduce the 'Expected Credit Loss' (ECL) ...

This piece is part of a series benchmarking bank climate risk management practices. Risk Management subscribers can view selected cuts of the underlying data here. Sign up for Risk Benchmarking emails ...

Long-term forecasts for impairment and capital are often built on the assumption that tomorrow will broadly resemble yesterday. Historical shock events such as the 1997 Russian debt default, the 2008 ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

In “Washington Inflates Credit Scores and Another Housing Bubble” (Life Science, Feb. 15), Allysia Finley gets it wrong. FICO’s model was the industry standard credit score used for mortgages during ...

Private credit grew rapidly in the wake of the 2008 financial crisis, filling the lending gaps created by regulations that hamstrung Wall Street banks. Many of the buyout shops that waded into the ...