Artificial intelligence
Bloomberg offers auto-RFQ chat feed – but banks want a bigger prize
Traders hope for unfettered access to IB chat so they can build their own AI-enhanced trading tools
Risk.net’s top 10 investment risks for 2025
Fresh concerns this year include a trade war, a stock market crash and growing social discord
Review of 2024: as markets took a breather, firms switched focus
In the absence of major crises and rules deadlines, financial firms revamped strategy, services and practices
Revolutionising credit surveillance: part two
Does GenAI live up to the hype? How prioritising AI and digitisation projects reveals data as the power behind AI initiatives
Elevating risk management to a strategic partner in investment decision-making
Based on insights from a Risk.net webinar sponsored by S&P Global Market Intelligence, this article explores how risk management is evolving from a compliance role to a strategic partner.
Quant of the year: Julien Guyon
Risk Awards 2025: Volatility modeller par excellence (and football fan) achieved breakthrough with joint calibration of S&P and Vix options
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
BNPP ups efforts to weed out skew sniffers
French bank deploys skew sensitivity algo to help identify predatory behaviour
Artificial intelligence in crisis management: a bibliometric analysis
The authors carry out a bibliometric analysis of academic papers in the field of artificial intelligence applications in crisis management and propose potential new directions for researchers in this field.
Revolutionising financial data with large language models
With the integration of LLMs, LSEG is reshaping data analytics, utilisation and management. Powered by LSEG’s extensive data, these LLMs offer transformative applications for investment professionals
Beware the macro elephant that could stomp on stocks
Macro risks have the potential to shake equities more than investors might be anticipating
Elevating financial crime compliance and data management through AI
Today, artificial intelligence (AI), process automation and strategic data management can effectively combat financial crime. However, the power can be in the hands of both good and bad actors
UBS embraces ‘narrative alpha’ for new form of sentiment strategy
NLP engine traces how stories spread, instead of counting words
Banks must loosen up on ChatGPT use – risk chiefs
Risk Live: ’Shadow use’ and inability to attract new hires mean restricting access to GPTs is untenable
Quantum cognition machine learning: financial forecasting
A new paradigm for training machine learning algorithms based on quantum cognition is presented
Banks urged to keep regulators in the loop on AI plans for AML
Risk managers advocate five-year strategies and compliance teams’ ownership of the tech they use
Only human: the secret of reliable LLM workflows
This article explores the research behind a recent Risk Live Europe session, examining the strengths and limitations of LLMs and offering insights on how to effectively integrate them into business workflows
Supervisors use generative AI to tame ‘chaotic’ data
Officials merge credit databases with unstructured reports to sharpen bank oversight, explains Banco de España ex-deputy
Derivatives pricing with AI: faster, better, cheaper
Pascal Tremoureux, head of quantitative research at Murex, describes the firm’s mission to replicate derivatives pricing models through machine learning – slashing time and costs in the process
Risk Technology Awards 2024: AI hopes and holdups
Live AI use-cases are limited, as vendors warn on over-regulation
Tired of fat-finger blunders, G-Sibs turn to robots for help
Big banks speed up shift towards control automation and AI adoption to counter costly human errors, Benchmarking survey finds