The FX settlement specialist's information services arm is harvesting years of abandoned data for new projects.
The central bank's report on the future of post trade will face the same competitive interests that have hindered previous attempts at eliminating inefficiencies and bringing automation to the back office.
The nonprofit is reaching out to regulators to determine where open source could ease regulatory burdens on financial institutions, while keeping them competitive with tech companies.
The pandemic has highlighted the need for greater automation, leaving some retail banks to embrace RPA, which could seep into the wholesale capital markets.
The platform will allow users to look up the latest definitions as they execute a trade, with the option to access code for certain definitions using functionality already developed in the Common Domain Model (CDM).
The investment bank is upgrading its chatbot in response to user demand for more capabilities.
As the coronavirus drives trading volumes, post-trade processing is increasingly an area of operational risk, and firms should consider automation, analyst says.
As the private markets grow, so does investor appetite for them, particularly as public markets hurt. Emerging technologies are helping.
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.
DB's Stuart Gurr says past automation efforts have helped the bank weather the Covid outbreak, highlighting the need for further automation.
As 'years' of tech investment pays off amid the coronavirus pandemic, Morgan Stanley eyes tools that can help it identify business process efficiencies.
The vendor will add trading position flow and risk calculations to the platform this year, as it continues to integrate functions from recent acquisition Percentile.
The vendor's CTO says automation capabilities embedded within the company's Clareti platform can help with repetitive tasks.
The integration will allow for efficiency gains and risk reduction for users of the Finsemble app interoperability platform and the Terminal.
The vendor is also considering including deep learning capabilities to the platform.
The bank's central data and technology group enables frontline ‘citizen developers’.
The Swedish tech vendor is hoping to capitalize on disruption in the OMS space by offering an automated solution for migrating FIX rules and for FIX certification.
The bank is rounding out the second year in its three-year plan, which includes more than 100 new data roles.
The investment bank’s deputy chief digital officer says machines cannot predict markets, as the bank consolidates trading operations and builds an AI trading platform for fixed income and FX.
The platform provider is looking at opportunities in securities lending and swaps, as it pursues expansion in Europe.
WatersTechnology looks at 16 projects in the capital markets that involve machine learning to show where the industry is heading.
As increased regulatory reporting obligations add to the pressure financial institutions are under to manage intraday liquidity, centralizing siloed legacy systems into a single automated solution can offer an enterprise-wide, real-time view of liquidity…
Duncan Wood interviews Tradeweb's Billy Hult about the changing trading landscape.
The service automates the process of permissioning and ordering market data services—initially from FactSet, though MDSL is extending it to cover other vendors' services.