Artificial intelligence
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
Risk Live North America: US broker is ditching emails, using chaos engineering and automating everything in sight
How staff exodus could leave the OCC high and dry
A third of staff set to depart US regulator, but some teams will suffer much heavier losses
Most banks add ERM heads – but CROs keep control
Hiring tilts towards AI, cyber and model risk as enterprise risk’s remit grows faster than its reach
When AI models malfunction, address the problem not the math
Governance of artificial intelligence models should focus on actionable outcomes rather than interpretability, argues former chief regulator
Rates investors unmoved by stories of AI bliss, or doom
Research shows downward moves in US Treasury yields around generative AI model releases
Geopolitics, crypto and inequality are systemic risks, say panellists
ESRB conference attendees discuss threats to EU’s financial system
Untangling corporate actions data complexity
LSEG is developing AI capabilities and leveraging expert validation to bring structure and speed to corporate actions data
SNB researchers test LLM-based FX trading strategy
Meta’s Llama 3.1 comes out top predicting G10 currency sentiment based on news articles
Banks curb frequency of GRC vendor reviews
Data shows drop in plans to pitch or switch vendors, amid tighter third-party rules – but TPRM bucks the trend
One in four Fed staff could benefit from GenAI, study finds
New technology could reshape US regulator’s operations – but only with top-down push
Trump’s FX impact: a tale of two terms
Traders say Trump version 2.0 is already proving a much trickier task to manage than the original, and have had to adapt
Removing the barriers to AI success
Addressing challenges of data quality and governance to scale AI for competitive advantage
Removing the barriers to AI success
Addressing challenges of data quality and governance to scale AI for competitive advantage
More than one-quarter of banks overhaul third-party KRIs
Op Risk Benchmarking data shows more flux – and less confidence – in indicators tracking vendors versus other risks
Generative AI brings testing times for modellers
Flagstar’s lead model validator offers some tips for safely integrating LLMs into risk models
Ninety-one per cent of banks have specialist teams for resilience risk
Latest survey shows regulatory pressure is driving broader framing of resilience, beyond IT and cyber
Deep learning alpha signals from limit order books
An analysis on network architectures applied to limit order book data is presented
Redefining risk playbooks amid volatility and AI disruption
Best practices around resilience, adaptability and clarity of purpose amid uncharted markets and political uncertainty
The AI bot that left the garage
Senior operational risk exec explains how hidden third-party feature could lead to systemic risk
Algos shrugged: AI uptake still lagging in bank op risk
Risk managers acknowledge transformative potential of artificial intelligence – most, from a safe distance
Japan FSA’s Ariizumi on Basel delays and regulating AI
Outgoing international affairs chief issues rallying call for Basel III adoption, saying Japan has “kept its promise”
Academic warns of systemic risk from AI-powered trading
Strategies generated by LLMs exhibit “very strange, correlated trading behaviour”, says Lopez Lira
Building reliable and successful LLM-based workflows
How AI is reshaping analytics, compliance and modelling in finance
Former OCC chief on the sting of peeling the Basel III ‘onion’
Michael Hsu warns successors not to cut bank capital or neglect rate risks that destroyed SVB