The insatiable demand for unique market data is putting banks in a tricky situation.
Find out how Bloomberg’s Gideon Mann balances the certainty of analytics with the alchemy of machine learning.
The burgeoning field of computer-driven investing has grown so large and complex that a Singapore family office has decided you need a quant to find the right quants.
Funds using automated investing processes are the fastest growing segment of the hedge fund universe.
Deep learning is setting itself up to displace high-frequency trading which has dominated many of the electronically traded markets since approximately 2007.
Alphabet Inc.’s Google beat Apple by three years in releasing AR tools, but its features are on very few phones and haven’t gained wide acceptance. By contrast, Apple can easily pair its software and devices, an advantage that will help it quickly make up lost ground.
Between sleepy movements in global assets and short-lived macro shocks, programmatic investors who make their fortunes chasing momentum have had a particularly rough year.
In the match for India's financial services future, fintech just scored twice while banks are still struggling to retrieve the ball they scuffed into their own net. It's just the start of what looks like a bruising battle for traditional lenders.
Use this framework to build your data team – or to become a member of a data team – having in mind softer skills can ensure data initiatives actually deliver business value.
Quants develop innovative methods to help reveal embedded signals in one of the more popular sources of unconventional financial data: sentiment analysis of news stories and social posts.