Machine learning
Privacy laws crimp bank efforts to snoop on traders
Banks want to surveil employees to prevent malfeasance. GDPR is hobbling those efforts
Fund builds virtual analyst to do ‘grunt work’
Equities unit at Principal Global Investors wants its analysts analysing, not rooting through email and research reports
Keeping the robots honest
Human overseers are in short supply in an arena where losses can be crippling in minutes
Business lines must answer for ML biases – OCC’s Dugan
Banks cannot blame developers or vendors for faulty machine learning models, says regulator
From memos to texts, algos fish for signals in-house
Hedge funds turn to natural language tools to pry more value out of their analysts’ internal writings
Cleaning noisy data ‘almost 70%’ of machine learning labour
Quants flag signal-to-noise ratio as key to reducing overfitting risk
From DNA to DHA – Preparing for a new era of digital human augmentation
As technology increasingly permeates societies, cultures and everyday activities, its integration into people’s lives is having a profound impact on what is expected of people in the workplace. Deloitte examines this evolution of today’s workforce, the…
Machine learning governance
The ability of machine learning models to read great quantities of unstructured data, spot patterns and translate it into actionable information is driving a significant uptake in the technology. David Asermely, SAS MRM global lead, highlights the need…
New applications in Asia’s financial crime analytics
Financial crime is a fast-growing problem for Asia‑Pacific financial services firms. Working with outmoded systems and patched-up processes to detect, monitor and eliminate potential threats, banks are spending millions on sophisticated new solutions to…
Podcast: Hans Buehler on deep hedging and harnessing data
Quant says a new machine learning technique could change the way banks hedge derivatives
Stock-pickers take note: the quants are coming
Quant funds are turning their hand to fundamental investing
JP Morgan turns to machine learning for options hedging
New models sidestep Black-Scholes and could slash hedging costs for some derivatives by up to 80%
Apac banks call for regulatory push on AML tech
“Regulators have got to stop being okay with how things currently are,” says financial crime head
Systematic manager puts up guardrails for AI
Boston-based Acadian aims to limit risks from complex, machine learning algorithms
Fund houses get picky over where to use machine learning
Buy-siders limit usage of deep learning techniques due to haziness over their inner workings
Not random, and not a forest: black-box ML turns white
Bayesian analysis can replace forest with a single, powerful tree, writes UBS’s Giuseppe Nuti
All along the watchtower – Surveillance tools against market abuse
Surveillance tools against market abuse are enjoying a technological revolution in analytics, while anxious supervisors are also closing in on market practices. Risk.net hosted a webinar in association with NICE Actimize to analyse the threats and…
Start-up uses AI to zero in on US property deals
Team including former cyber intelligence agents builds model to target real estate transactions
Analytics become top priority at energy firms, poll finds
Middle office still grappling with use of blockchain and artificial intelligence
The advance of analytics
Machine learning is coming to analytics but there are hurdles to overcome first, says Aiman El‑Ramly, chief operations officer at ZE PowerGroup
Making technology count in a C/ETRM world
As businesses grow, so does their need for modern, agile and cost-effective commodity/energy trading risk management (C/ETRM) solutions. Pioneer Solutions explores how its next-generation, highly configurable C/ETRM systems take advantage of the latest…