Artificial intelligence
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
Banks fear Fed crackdown on AI models
Dealers say agencies’ request for info could prompt new rules that stifle model innovation
Driving value from GRC
In today’s fast-changing business environment, an effective governance, risk and compliance (GRC) programme is increasingly seen as a foundation of agile decision-making. Michael Gibbs, chief executive officer of SureStep Systems Integration, discusses…
Acadian builds ‘green screen’ to auto-filter ESG phoneys
$110 billion quant investor creates automated system to spot greenwashers
BNP Paribas AM turns to machine learning for carbon emissions
AI may help fund manager count emissions that companies fail to report
From use cases to a big data benchmarking framework in clearing houses and exchanges
In this paper, we propose a conceptual framework that links the technical and business benchmarks in the domain of clearing houses and securities exchanges.
The importance of getting technology change right
Christoph Kurth, partner and member of the global financial institutions leadership team at Baker McKenzie, covers some of the rapid technological changes under way brought about by, and in the wake of, the Covid-19 pandemic
As machines disrupt investing, people still have a role to play
Despite AI’s growth, investing still needs human adaptability and judgement, writes Schroders’ Lim
A hybrid model for credit risk assessment: empirical validation by real-world credit data
This paper examines which hybridization strategy is more suitable for credit risk assessment in the dynamic financial world.
Ex-SunGard chief Cris Conde’s random walk to fintech and beyond
Technologist talks artificial intelligence, angel investing and accidentally contributing to the Basel framework
Technology innovation of the year: Scotiabank
Risk Awards 2021: new risk engine can run nearly a billion XVA calculations per second
Fighting financial fraud with AI
Risk and compliance professionals convened for a Risk.net webinar, How to successfully mitigate fraud – AI in action, in association with NICE Actimize to debate the use of artificial intelligence in the fight against fraud
DBS chief executive on fighting tech disruptors with data
Asia Risk 25: Data and AI are top technology priorities for Singapore bank, says Piyush Gupta
Machine learning will create new sales-bots – UBS’s Nuti
Technologists working to automate indications of interest from trading desks
HSBC exec: measure culture through smarter surveillance
Machine learning could help gauge positive sentiment from surveillance logs, says Elhedery
Model misfires raise questions over training data
Quants wrestle with how far into the past their machine learning models should peer
Regions deploys early-warning tool for credit risk
Risk USA: system alerted US superregional to impending defaults during Covid crisis
How to successfully mitigate fraud – AI in Action
Fraud is evolving, with influences spanning technical sophistication through to turmoil and crisis. Most recently, the Covid-19 pandemic has thrown an additional spanner in the works. As the drivers behind these activities are becoming more varied, the…