Artificial intelligence
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.
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
XVA desks prioritise core tech upgrades over AI
Vendor upgrades, cloud-native rebuilds and sensitivities tooling dominate 2026 budget road maps
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
Almost two-thirds of banks now run XVAs on cloud
Risk Benchmarking study finds a majority of big dealers tapping cloud capacity, some exclusively, with others migrating
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
Treasury market urged to beef up operational resilience plans
NY Fed panel warns about impact of AI and reliance on critical third parties
Lloyds draws a (second) line on AI risk
Model risk office is accountable for managing the risk of AI roll-out at the UK bank
Tomorrow’s Quants: what it takes to be a next-gen modeller
Employers increasingly prize mix of hard and soft skills, Risk.net survey reveals
How conflict sharpened Israel’s role in cyber security
Recent growth in offshoring of infosec comes despite regulatory focus on supply-chain resilience