Artificial intelligence
Data to anchor a new age of risk management
The growth of artificial intelligence and real-time compliance drives new requirements in data and analytics
Language barrier: quants slog to teach investing bots to read
Training models to interpret text can be dull; doing it badly can be costly
Moonshots and machines: can AI solve the problems of fincrime?
New technologies such as artificial intelligence (AI) and machine learning promise much in the battle against financial crime, but where are these solutions best deployed? A panel of anti-money laundering and analytics professionals convened for a Risk…
New breed of NLP model learns finance better, study finds
Models trained by looking at sentences beat conventional approaches that contextualise words
Quants see promise in Bayesian machine learning
Risk USA: probability theory may hold key to creating ‘self-aware’ AI
Scalability could trump complexity in machine learning debate
Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec
Operational resilience: charting evolution, strengthening impact
Arming a business in preparation for robust operational resilience measures is not a one-step solution – it continues to evolve. The key to strengthening defences against all events – especially the unlikely but plausible – is to build business agility…
Data and AI: addressing increasing regulation for smarter compliance
This webinar features leading compliance and risk management professionals and focuses on how firms can handle regulatory change management, fraud prevention, AML and other compliance needs through the use of an optimal data and AI foundation built for…
Fed: banks may need AI risk systems to cope with smart devices
Tenfold increase in web-enabled devices via 5G and IoT means explosion in cyber threats, says official
A survey of machine learning in credit risk
This paper surveys the impressively broad range of machine learning methods and application areas for credit risk.
Axes that matter: PCA with a difference
Differential PCA is introduced to reduce the dimensionality in derivative pricing problems
Model risk management: building trust and governance
As organisations increasingly rely on models that cover a wide range of business functions, there is an increasing need to create and maintain a comprehensive model inventory for enhanced collaboration and regulatory compliance across multiple regions…
Rethinking the model lifecycle: from quick fixes to long-term gain
Covid-19 has caused widespread disruption to banks’ risk models. Some failed in the crisis while others have required significant overlays or frequent recalibration as extreme volatility has given way to ongoing uncertainty. As banks seek more agile…
AI helps one investor screen targets against UN ethical goals
PanAgora develops two-stage process that aims to weed out the greenwashers
Wells touts new explainability technique for AI credit models
Novel interpretability method could spur greater use of ReLU neural networks for credit scoring
Show your workings: lenders push to demystify AI models
Machine learning could help with loan decisions – but only if banks can explain how it works. And that’s not easy
Operational resilience 3.0 – Unlocking potential and elevating response
In a Risk.net webinar convened in collaboration with Fusion Risk Management, an expert panel delved into best practices for businesses to elevate systems to the next level of prediction, preparation and protection
AML models face explainability challenges
Data gaps and potential biases must be accounted for in approaches to tackling money laundering
The race to digital resiliency – Building a robust data management framework
Addressing privacy concerns is not a new topic for data and analytics, but with the explosion of regulations and growing consumer concern around how data can and cannot be used, addressing compliance requirements is more important than ever
Goal-based wealth management with reinforcement learning
A combination of machine learning techniques provides multi-period portfolio optimisation
How algos are helping inflation-wary investors
Buy-siders look to machine learning for clues on the effect of rising prices on portfolios
Zurich’s Scott: don’t levy climate risk capital charges
Imposing set-asides based on stress tests “does not make any sense”, sustainability chief warns watchdogs