Artificial intelligence
Identifying supply chain credit risk in China’s textile industry using an ensemble explainable artificial intelligence model
The authors focus on data mining of financial credit risk information and knowledge in the supply chain from the perspective of explainable artificial intelligence to address credit risk identification in supply chain enterprises.
A hybrid value-at-risk/estimated shortfall model: linking accuracy, calibration and explanation stability across horizons
In an effort to close the gap between predictive performance and auditability in hybrid risk models the authors put forward an auditable hybrid quantile framework that anchors nonlinear gradient boosting corrections to a linear heterogeneous…
BNP Paribas outlines path for FICC algos, SDP and AI projects
After taking on new Cortex and AI roles, BNPP’s Razaq sets out the bank’s expansion plans and new tech projects
From cost centre to growth engine: hard ROI, client trust and the future of CLM in Apac
How Apac banks can move beyond the ‘AI illusion’ to unlock hard ROI
Reshaping risk and trading workflows
LSEG’s strategic partnership with Microsoft is reshaping how financial services are built, delivered and experienced
Manuela Veloso on how banks can make their AI dreams reality
Former JP Morgan head of AI research says open-ended enquiry will unlock technology’s full potential
EU’s plan to get competitive faces big legislative hurdles
Large and controversial legislative package may be too amorphous to deliver results quickly
AI trained on fundamentals says which stocks will crash in sync
Neural net models correlations without a returns history and could improve stress testing
Operationalising AI: building governance foundations for capital markets risk
Senior industry leaders and practitioners explore how firms are integrating AI into enterprise risk and capital management
Prudential regulation reporting system of the year: Regnology
Regnology’s cloud-native platform helps firms unify risk, regulatory reporting and finance on a single data foundation, using AI‑ready architecture to support future innovation
Private credit risk doesn’t have to be systemic to be serious
Risk management leader outlines three cracks in the consensus that risk in the private credit sector is contained
Banks building GenAI governance in parallel to model risk
Risk Benchmarking: Majority have established AI governance committees, but ownership is fragmented
AI agents for cash management in payment systems
The authors asses to what extent generative artificial intelligence models can assist with high-level intraday liquidity-management tasks in wholesale payment systems.
Frontier AI poses new cyber risks – BIS study
National and international co-operation needed to tackle increased threat
Model risk managers see growing regulatory divergence
Risk Benchmarking study finds most banks expect easing of model risk supervisory scrutiny in the US, but tightening in Europe
The evolution of operational risk scenario analysis
How structured scenario analysis paired with AI-enabled challenge can modernise banks’ op risk practices
Governing AI execution as institutional infrastructure
Drawn from discussions at a June 2026 AI governance roundtable in New York, convened in collaboration with Cisco
Model risk managers are being asked to do more with less
Risk Benchmarking study finds function being handed expanding AI workload, on flat resources
Banks are automating GenAI testing, but scope varies widely
Risk Benchmarking: LLM-as-judge offers model testing at scale, but few lenders use it to facilitate autonomous sign-off
A third of banks do not maintain logs for GenAI models
Risk Benchmarking study finds few banks review prompt logs systematically, with larger firms focusing on higher risk use cases
From gatekeeper to coach: model risk bids to reinvent itself
Model Risk Benchmarking data reveals a function in flux, grappling with resource cuts, AI models, regulatory divergence