What to say in a machine learning interview on the buy-side
eFinancialCareers
Sebastien Guglietta, Brevan Howard’s co-head of ‘computational intelligence systematic strategies’ gives 6 pointers on approaching a buy-side machine learning interview. Read More »
Point 72 used big data to short Weight Watchers, Dave & Buster’s
Bloomberg Quint
Using metrics like geo-location data and social sentiment, Point 72 has found success in applying alternative data to short selling. Read More »
Guide: step-by-step alternative data analysis
Data Driven Investor
Data Driven Investor gives readers a step-by-step guide to perform analysis and data visualization on Quandl’s RS Metrics MetalSignals dataset. Read More »
Financial trading firms are wooing top minds with “exciting” datasets
Quartz
Driven by the desire to work with large and complex datasets, top mathematical minds are excited by the “faster-than-academia” world of finance. Read More »
GreenKey to release front-end audio analysis dashboard
Waters Technology (subscription)
The new tool, called the Blotter, will be a window into unstructured audio data as a form of operational alpha for the buy and sell sides. Read More »
The era of quantum supremacy has officially arrived
The Economist (subscription)
A new Google experiment is a widely-credible demonstration of a quantum computer outperforming its classical counterpart, which may in time boost fields such as machine learning. Read More »
Protecting portfolios from climate risk
Advisor’s Edge
Amidst accelerating trends, institutional investors are developing methods to measure exposure to climate change. Read More »
Buyout funds and stocks show “almost perfect co-movement”
Institutional Investor
New alternative data shows that while public markets are more volatile, they tend to perform similarly to leveraged buyouts. Read More »
How big data and AI have transformed business culture
Forbes
In today’s landscape, it’s becoming harder to remember a time when data analysts regularly toiled away far from the spotlight. Read More »