While many expect the president-elect to take a bullish stance on environmental issues, it's unclear what a new dispensation can do for the dilemmas around ESG standards.
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
This Week: Jyske Capital/SimCorp; Vestrata; NICE Actimize/FACEPOINT; Anna/Gleif; SS&C, ING, and more
A summary of some of the past week's financial technology news.
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Vendors don’t release new products or updates without putting their software through rigorous testing. What does that testing involve, and what different approaches do companies employ? Max Bowie finds out.
Sell-side firms and data providers are increasingly experimenting with natural-language generation to create new forms of automatically curated reports, emails and alerts, but the technique comes with significant challenges.
The QED team within the asset manager is aligning its focus next year to deliver a holistic AI platform to its investment professionals—including a recommendation engine.
Anthony says that while machine-learning models have been hit-and-miss during the pandemic, NLP is taking on greater importance. He also looks at how exchanges are looking to move their core matching engines to the cloud.
Anthony wonders if AML platforms are being scrutinized enough by banks and regulators, then looks at Wells Fargo's tapping of HPR for its quant division and Northern Trust’s blockchain plans.
UBS AM’s Bryan Cross says the goal of embedding AI in the investment process has failed because the aim has been misguided.
Quant funds are striving to adjust their ESG models to take into account changes in corporate behavior during the pandemic.
Competing platforms could split the market for new issuance in Europe and the US.
Anthony explores how Snowflake is trying to win over business in the cap markets, talks about the reference data space, and examines a new breed of data vendors.
A look at some of the past week's financial technology news.
Investment firms are making changes to their risk reports, stress tests and concentration limits.
The unit is combining foot-traffic data and proprietary datasets derived from hospitals to develop a better understanding of outbreaks and predict a timeline for recovery.
Senior technologists from UBS, Deutsche Bank, Nomura, SocGen and others discuss where their tech spend is being directed.
A specialist team at UBS Asset Management is using a mix of proprietary ratings, external data, and in-house analysis to make ESG an integral part of its investment process.
The Swiss bank’s A3 system offers a blueprint for remote working as the industry looks to life beyond coronavirus.
Experts from UBS, Unigestion, MIT and QuantConnect discuss the need for nowcasting, and what the alt data boom has made possible in trying to navigate today’s crisis.
Financial services firms have been looking to maritime data for economic insight during the coronavirus pandemic.
Beatriz Martin says the bank has about 400 of these agile development teams—which were first rolled out last year—consisting of about 2,500 people across the organization.
Hedge funds are using geolocation data to both spot signs of a pandemic recovery and to see its ripple-effect damages.