Surveillance
Nasdaq Repackages Clearing Platform for NFF Tech Stack
The exchange will add further portfolio applications to the NFF according to market demand.
This Week: MEMX, Bloomberg, Finos, BNY Mellon, IHS Markit & More
Highlights from the past week's financial technology news.
MEMX Postpones Launch Due to Coronavirus
CEO Jonathan Kellner announced on April 17 that the exchange would have to push back its official launch date, as well as delay platform testing and member certification until later this year.
AI Fraud Systems Frazzled by Covid-19
Seismic changes in customer behavior are seeing machine learning solutions throw out false positives.
People Moves: FINRA, Tassat, Eventus Systems, Willis Re and Big XYT
A look at some of the key 'people moves' from this week including Greg Ruppert (pictured) who joins Finra as executive vice president.
Aegon Asset Management Partners with ACA Compliance for Surveillance
The firm is using ACA's Decryptex to identify fraudulent trading behavior.
MEMX Goes with Nasdaq for Market Surveillance
The Members Exchange plans to be live with the platform by its launch date of July 24, despite market volatility.
This Week: Nasdaq, Trading Technologies/Nodal, Finantix, GLMX/UnaVista
A summary of some of the past week’s financial technology news.
SIX Builds Quantum Security for DLT-Based Exchange
The Swiss Exchange is future-proofing SDX with post-quantum encryption, ahead of its full-service launch.
Rimes Wards off Sale Speculation with Investment from EQT
A sale was originally reported, but this PE investment will allow the firm to grow its ESG, ETF offering while considering a sale at a later time.
SteelEye to Monitor Social Media for Trade Reconstruction
Compliance vendor says upcoming automatic trade reconstruction will slash processing times and allow users to monitor news feeds to detect insider trading.
MEMX Builds Out Infrastructure as it Waits on Regulatory Approval
The exchange’s CEO and COO discuss its matching engine, Intel partnership, cloud strategy and plans for the future.
Nasdaq Updates Surveillance Offering to Build Trader Profiles to Catch Spoofing
The company is combining different data sources to help users spot market abuse and manipulation.
Machine Learning Takes Hold in the Capital Markets: Some Examples
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
Nice Actimize to Add More Visualization, Machine Learning to Surveillance Platform
Planned upgrades for 2020 include more data on graphs and new machine learning models.
LSEG Building New Algo-Testing Tool
The exchange group is developing new regtech products while looking to move these offerings to the cloud in 2020.
Nasdaq's Lessons in Machine Learning Yield New Surveillance Tool
The offering, which took more than a year to build, combines deep, transfer and human-in-the-loop loop learning to find patterns.
Rimes and Insightful Technology Collaborate for Surveillance
The combined offering will help financial firms meet compliance requirements for regulations like SM&CR and Reg BI.
GreenKey To Release Front-End Dashboard For Analyzing Audio Data
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.
UBS’s Data Lake for Regulation Pays Dividends
Waters Europe: Data requirements are driving better data for consumption across the bank.
IIROC Melds Equities, Debt Surveillance on Nasdaq Smarts Platform
IIROC has used Nasdaq Smarts for market surveillance since 2010, but is consolidating equities and debt market surveillance for the first time.
NYSE President Sees Tech as Key to Big Board's Next Evolution
A look at the massive tech projects (and legal battles) underway at the NYSE, which are being led by Stacey Cunningham.
Loans Data Provider dv01 Launches Credit Risk Transfer Surveillance Service
The service will allow investors to perform deeper analytics on data from Freddie Mac and Fannie Mae.
Buy-Side Firms Turn to AI for Efficiency Amid Barriers to Adoption
Assuming that automated artificial intelligence holds the key to unlocking fragmented datasets, the absence of standardized models coupled with regulatory concerns remain barriers to adoption.