Artificial intelligence
‘Corrective’ algo tells quant firm when it’s wrong
QTS has built a machine to show whether a strategy is likely to succeed or flop
Technology risk management in fintech: underlying mechanisms and challenges
This study focuses on the foundational technology of fintech to address the challenges posed by its specific form of risk.
Shaping the future of risk and finance with analytics and integrated technology
This webinar explores how to enhance business planning activities, while accelerating regulatory demands with limited resources amid a need to derive greater value from the analytic lifecycle
Vulnerabilities arise in financial services as AI and machine learning use balloons
The scale at which financial services firms are adopting artificial intelligence and machine learning continues to grow, bringing with it new dimensions of risk and vulnerability. In a recent Risk.net webinar sponsored by TCS, experts discussed…
Taking advantage of relative value credit opportunities with advanced bond analytics
Dmitry Pugachevsky, director of research at Quantifi, a provider of risk, analytics and trading solutions, explores the challenges of bond analytics and how access to the right analytics can provide opportunities for more comprehensive trading strategies
Derivatives house of the year: JP Morgan
Risk Awards 2022: Big bet on AI is delivering results
Digital transformation and the future of GRC
This Risk.net survey report explores the impact of digitalisation on financial firms, and the changing strategies, resources and technology deployed by the governance, risk and compliance function
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