Artificial intelligence
Credit risk, data and AI: managing spiralling demands and delivering value
Based on a comprehensive survey of, and conversations with, credit risk professionals globally, this report delves into their challenges they face in trying to source and use forward-looking data.
Asset allocation with inverse reinforcement learning
Using reinforcement learning to help replicate asset managers' allocation strategy
Machine learning and AI in model risk management: a quant perspective
Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy. By Tiziano Bellini, head of risk integration…
Podcast: Leveraging real‑time data feeds for faster business decisions
The markets have been on a very volatile ride in 2022, which makes low-latency data more crucial to the business
Explainable artificial intelligence for credit scoring in banking
The authors put forward an explainable machine learning model predicting credit default using a real-world data set provided by a Norwegian bank.
Navigating the complex world of equity options data
In an exclusive Risk.net webinar, convened in collaboration with Cboe Global Markets, experts discussed the expanding world of equity options data, the rise of retail investment within it, and the technological challenges and opportunities associated…
How to hone NLP’s detection skills: a cue from a super-sleuth
With a sharper focus, AI readers could help detect hidden exposures for investors
Operational risk management solution: MetricStream
Asia Risk Awards 2022
AML solution of the year: Napier Technologies
Asia Risk Awards 2022
Fraud prevention solution of the year: Quantexa
Asia Risk Awards 2022
Best AI or machine learning innovation: Quantifi
Asia Risk Awards 2022
Holistic credit risk assessment and the goal of safe unbiased modelling
In this Asia Risk webinar, experts in artificial intelligence (AI) and machine learning examined the growing applications being seen in the field and their merit in credit risk modelling
AI models point to recession, but quants won’t trade on them
Predicting the odds of a recession, and how markets will respond, is still a step too far for machines
Case study: Rabobank achieving strategic transformation with Murex MX.3
Crises throughout the last decades have led financial institutions to seek, devise and implement solutions to lower the cost of their operations, focus on their core businesses and speed up their go-to-market innovation
The landscape ahead for FX options desks: a Murex expert series
FX options desks face an increasingly complex and demanding context. The challenges they confront necessitate automation, digitisation, proper risk and lifecycle management and sophisticated, leading analytics
‘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
The future is now: how data science is revolutionising risk management and finance
This webinar explores how your organisation can move beyond legacy technology, better meet investor demands and remain competitive by embracing the future of finance.
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.
Investment management: harnessing data insights to drive innovation
To prepare themselves for the future, firms must readily embrace AI, machine learning, and NLP-based solutions to achieve operational and strategic targets.
Climate intelligence: today and the future
This IDC Market Perspective covers the dynamics of the rapidly evolving AI and machine learning climate intelligence market.
Reinventing regulatory reporting with intelligent innovations
Technology-led innovation to transform regulatory reporting solutions
Augmenting the reliability and fairness of AI in financial services
How AI propels business innovation and efficiency in financial services.
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…