Dealers say the agencies’ request for info could prompt new rules that stifle model innovation.
The bank’s client segmentation offering creates more targeted post-trade offerings, while its prediction engine can help reduce settlement failures.
The asset manager’s CIO for Europe aims to centralize responsibilities from its UK and EU offices for how its business in the region manages data and develops new investment products.
Increasingly, exchanges are trying to get closer to their customers, in a bid to better understand how they use market data. This move may come at the expense of data vendors that are being gradually squeezed out of the exchange-client relationship.
In recent years, the major cloud providers have expanded their service offerings specific to capital markets firms. Some industry observers believe it’s just a matter of time until they get involved in market data M&A activity.
Aiden, a trading platform launched last year, is the product of five years of experimentation with deep learning by RBC Capital Markets on top of an additional five years of hypothesizing about what best execution would one day require.
Migration to stock exchange’s tech platform aims to deliver faster speeds and more order types.
The data vendor’s product is its first that aims to sort what it believes to be truly innovative companies from the pack.
Cyber threat intelligence is crucial for the defense of an organization’s network, but financial firms have to figure out how to make sense of all the data first.
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
After releasing its cloud-native AMP and data analytics platforms in 2020, Linedata is looking to readjust its OMS strategy as it embraces microservices.
Buy-sider traders remain skeptical of the benefits of algo execution for credit derivatives.
A summary of some of the past week’s financial technology news.
Waters Wavelength Podcast Interview Series: PanAgora’s George Mussalli and Mike Chen hit on topics including building predictive models using point-in-time data, and balancing ESG portfolios.
Ion Group has acquired Dash Financial. Whether or not this ends up being a good marriage will come down to the people making the tech platforms, Anthony says.
A new era of accountability might see the Federal Reserve demand model explainability to keep financial system safe.
Algorithm development specialist BestEx Research is making a play to address inefficiencies in futures trading algorithms.
The two firms spent the better part of 2020 developing a detailed analysis of the quantum computing resources needed to achieve quantum advantage in derivatives pricing. Execs from IBM and Goldman explain why this benchmark is important for future…
Jo is skeptical that the SEC’s finalized market data infrastructure rule will make the public market data feeds faster.
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Anthony provides some of his initial questions and thoughts following the S&P-IHS Markit deal. He also takes a second look at AML technology after getting some sage feedback.
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.