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Banks fear Fed crackdown on AI models
Dealers say the agencies’ request for info could prompt new rules that stifle model innovation.
Deutsche Bank leverages AI for securities services
The bank’s client segmentation offering creates more targeted post-trade offerings, while its prediction engine can help reduce settlement failures.
Vanguard overhauls EU data strategy to better manage analytics, regulatory needs
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.
One step closer: How exchanges are seeking tighter relationships with clients
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.
Waters Wrap: When will Big Tech providers turn sights on the market data space? (And deep learning)
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.
Inside RBC’s Aiden project: 5 years of deep learning
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.
LSEG to replatform Matching and FXall
Migration to stock exchange’s tech platform aims to deliver faster speeds and more order types.
Quandl goes live with new dataset for measuring dollar value of patents
The data vendor’s product is its first that aims to sort what it believes to be truly innovative companies from the pack.
Financial institutions battle cyber threat info overload
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.
Engineers tap machine learning to improve graph analytics
Augmenting graph analytics with AI can detect more complicated anomalies, vendors say.
Linedata looks to modularize OMS, analytics offerings to compete in consolidating market
After releasing its cloud-native AMP and data analytics platforms in 2020, Linedata is looking to readjust its OMS strategy as it embraces microservices.
CDS trading remains stubbornly human
Buy-sider traders remain skeptical of the benefits of algo execution for credit derivatives.
This Week: Refinitiv, State Street, FlexTrade, FactSet/Microsoft, Cboe, and more
A summary of some of the past week’s financial technology news.
PanAgora’s CIO & head of sustainable investing explain firm’s ESG framework, best practices
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.
Waters Wrap: Dash Financial gets nabbed by Ion (And monetizing data)
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.
Fed could require senior management to explain AI models
A new era of accountability might see the Federal Reserve demand model explainability to keep financial system safe.
Futures trading algos ripe for disruptive new entrants
Algorithm development specialist BestEx Research is making a play to address inefficiencies in futures trading algorithms.
Goldman Sachs, IBM Lay Out Quantum Project for Derivatives Pricing
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…
Not so Fast: SEC’s SIP Rule Speeds Ahead, But Faces Bumpy Road
Jo is skeptical that the SEC’s finalized market data infrastructure rule will make the public market data feeds faster.
Machine Learning in the Capital Markets 2020: ML Spreads During Pandemic
WatersTechnology looks at how 10 different firms are embedding machine learning algorithms into their platforms and tools.
The ABCs of NLP: How Trading Firms Used NLP to Navigate 2020
This year, natural language processing came to the fore in capital markets, helping firms of all kinds parse huge, unstructured datasets.
Machine Learning will Create New Sales Bots on Trading Desks
Technologists are working to automate indications of interest from trading desks, according to UBS’s head of machine learning.
Waters Wrap: S&P-IHS Markit and the Land of Giants (Also, More on AML Tech)
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.
Waters Wrap: Machine-Learning Models Suffer from Covid (And Exchanges in the Cloud, Pt. 2)
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.