Generative AI
AI risk management and the shift to capability control
By reframing validation, banks can align innovation with regulatory demands and maintain robust risk discipline, argues risk manager
Top 10 operational risks for 2026
Industry shares intel on biggest collective threats, as well as remedies and loss gauges
A global governance framework for generative artificial intelligence in financial risk management: empirical insights on mitigating hallucination and opacity in the augmented intelligence era
The author proposes a six-pillar governance framework for generative-AI applications in financial risk management.
Model validation of a generative-artificial-intelligence-based avatar for customer support in banking
The authors put forward a validation method for a gen-AI-based avatar designed to deal with customer inquiries in the banking sector.
FHLB Cincinnati explores AI to spot failing banks
Agentic model detects anomalies, monitors sentiment and drafts credit reports for analyst review
Esma won’t soften regulatory expectations for cloud and AI
CCP supervisory chair signals heightened scrutiny of third-party risk and operational resilience
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
Rethinking model validation for GenAI governance
A US model risk leader outlines how banks can recalibrate existing supervisory standards
Responsible AI is about payoffs as much as principles
How one firm cut loan processing times and improved fraud detection without compromising on governance
Quantcast Master’s Series: Petter Kolm, Courant Institute
The NYU programme is taught almost exclusively by elite financial industry practitioners
Quantcast Master’s Series: Laura Ballotta, Bayes Business School
The business school prioritises the teaching of applicable knowledge with a keen eye on the real world
For tomorrow’s quants, Python is essential; AI isn’t
Proportion of PhDs in quant teams is sliding, as employers focus on all-round skills
Quantcast Master’s Series: Dan Stefanica and Jim Gatheral
Baruch College leaders on how they manage the top-ranked quant finance master’s programme
How FCA could help tackle third-party risk in AI
UK regulator’s supercharged sandbox is designed to boost explainability and reduce reliance on vendors
When AI models malfunction, address the problem not the math
Governance of artificial intelligence models should focus on actionable outcomes rather than interpretability, argues former chief regulator
Generative AI brings testing times for modellers
Flagstar’s lead model validator offers some tips for safely integrating LLMs into risk models
Redefining risk playbooks amid volatility and AI disruption
Best practices around resilience, adaptability and clarity of purpose amid uncharted markets and political uncertainty
The AI bot that left the garage
Senior operational risk exec explains how hidden third-party feature could lead to systemic risk
Former regulator urges new approach to AI explainability
Ex-OCC chief Michael Hsu suggests shift from academic analysis to decision-based techniques
Hong Kong watchdog taps GenAI to monitor shadow banking risk
News headlines, social media and bank earnings calls all followed using in-house tools