Artificial intelligence
The loneliness of the model risk manager
Boards may see them as a drag on innovation; risk functions need to show they embrace efficiency
Validating bank risk models under trade war stress: a framework for adaptive stress testing with AI-driven calibration and cross-industry applications
Focusing on validating and enhancing risk models, the author proposes a comprehensive framework through which to stress test under trade war conditions.
CanDeal looks to simplify third-party risk management
Six-bank vendor due diligence utility seeks international reach
Esma won’t soften regulatory expectations for cloud and AI
CCP supervisory chair signals heightened scrutiny of third-party risk and operational resilience
AI spend in US could be good for bonds in Europe – finance chiefs
Development of AI is capital-intensive, but adoption less so, which could favour EU
JP Morgan AI research founder and head departs
Manuela Veloso leaves as bank announces greater spend on tech and AI
At BNY, a risk-centric approach to GenAI
Centralised platform allows bank to focus on risk management, governance and, not least, talent in its AI build
Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning predictions in Mexican banks
The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting demand deposit balances while adhering to regulatory guidelines.
Ram AI’s quest to build an agentic multi-strategy hedge fund
The Swiss fund already runs an artificial intelligence model factory and a team of agentic credit analysts
The digital sentinel: artificial intelligence and the mitigation of corporate litigation risk
The authors investigates relationships between strategic AI adoption and corporate litigation risk, finding that increased strategic adoption leads to a net reduction in this form of risk.
Artificial intelligence in password-less authentication: bridging the gap between security and transparency
This paper investigates the role played by artificial intelligence in the adoption of password-less authentication in India, providing insights for policy makers, information technology developers and digital service providers.
Rethinking model validation for GenAI governance
A US model risk leader outlines how banks can recalibrate existing supervisory standards
Passive investing and Big Tech: an ill-fated match
Tracker funds are choking out active managers, leading to hyped valuations for a dangerously small number of equities
Banks split over AI risk management
Model teams hold the reins, but some argue AI is an enterprise risk
New EBA taxonomy could help integrate emerging op risks
Extra loss flags will allow banks to track transversal risks like geopolitics and AI, say experts
Kyriba sees uptake in AI-assisted FX hedging tools
Automated data collection and cleaning helps corporates create better hedges and has cut unexplained P&L moves by 87%, says vendor
Baruch, Princeton cement duopoly in 2026 Quant Master’s Guide
Columbia jumps to third place, ETH-UZH tops European rivals
AI and the next era of Apac compliance
How Apac compliance leaders are preparing for the next era of AI-driven oversight
Responsible AI is about payoffs as much as principles
How one firm cut loan processing times and improved fraud detection without compromising on governance
Best use of machine learning/AI: ActiveViam
Bringing machine intelligence to real-time risk analytics
Quantcast Master’s Series: Kihun Nam, Monash University
Melbourne-based programme winks at pension fund sector