Data science
Better tech brings threat of two-speed trading in fixed income
Smaller asset managers may get left behind as automation allows the big players to prosper
Vendor for system support and implementation: Quantifi
Asia Risk Awards 2022
Best AI or machine learning innovation: Quantifi
Asia Risk Awards 2022
Quant of the year: Hans Buehler
Risk Awards 2022: Architect of deep hedging aims to supplant orthodox models with method based purely on data
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
In fake data, quants see a fix for backtesting
Traditionally quants have learnt to pick data apart. Soon they might spend more time making it up
Alt data aims to shake up credit scoring business
Young firms, using machine learning methods to scrape consumer info, challenge established agency model
Quants are key to judicious ESG
Meaningful data analysis critical to future of socially responsible investing, writes Antonia Lim
The data anonymiser
Non-parametric approaches anonymise datasets while reproducing their statistical properties
Ex-Credit Suisse quants embrace machine learning
Founders of XAI Asset Management grapple with unsupervised learning and the problems of explainability
Quant funds look to AI to master correlations
Machine learning shows promise in grouping assets better, predicting regime shifts
Risk Markets Technology Awards 2020: The devil in the data
Banks are trying to do more with data, but they can’t always do it alone
Law firm of the year: Allen & Overy
Risk Awards 2020: Not just "stodgy lawyers", fintech incubator gives A&O a headstart on automation
Harnessing AI to achieve Libor transition
Chris Dias, principal at KPMG, explains how the vast increase in accuracy that artificial intelligence (AI) offers when dealing with large volumes of complex agreements is crucial to exploring the market opportunities and mitigating the risks of the…
The rise of the robot quant
The latest big idea in machine learning is to automate the drudge work in model-building for quants
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
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
The future of operational risk management
As the efficiency of operational risk management remains a top priority and pressure to maximise value increases, emerging technology could prove crucial. Nitish Idnani, leader of oprisk management services at Deloitte, explores how the oprisk management…
Q&A: Blockchain in commodities – a solution in search of a problem?
Competitors must work together if technology is to harness its potential, say three industry leaders
Dabbling in data science won’t cut it
Banks are seeking data-led boost for research arms – only a few will succeed