Banks have long been using synthetic data to validate solutions, but tech advancements and regulatory pressure have established this practice as a crucial step in the development and testing of technologies.
Waters Europe: Data requirements are driving better data for consumption across the bank.
In a career spanning more than 20 years, Esler has served in senior market data management roles at some of the biggest banks on Wall Street.
Cohee highlights cloud, big data and machine learning as disruptive changes forcing innovation at financial firms.
Bayesian analysis can replace random forest with a single, powerful tree, writes UBS’s Giuseppe Nuti.
Traders in Europe face rising data acquisition costs and increasing regulatory reporting pressures argue that a pan-European consolidated tape is long overdue.
DTCC can now focus on expanding coverage of the MTU with the addition of leading dealers.
Beatriz Martín, UK CEO and global COO of UBS Investment Bank, received WatersTechnology's woman of the year award at this year's Women in Technology & Data Awards.
The 26 category winners from this year's Women in Technology and Data Awards were announced on the afternoon of March 8 at a sit-down lunch in London.
Tech providers are emerging from all corners as the final phases of initial margin rules closes in, which are expected to capture over 1,000 buy-side and sell-side firms over the next 18 months.
Bryan Cross, who heads UBS Asset Management's QED group, joins to discuss alternative data and AI.
UBS' COO, Beatriz Martín, and Charles Schwab Investment Management's CIO, James Ferrarelli, won the two highest-profile categories of the 2018 AFTAs: best technology executive (sell side) and best technology executive (buy side), respectively.
An industry initiative to start a new US exchange promises much, but it may struggle to deliver without a clearer purpose.
Hughes has spent more than 30 years in senior positions in the banking and financial technology industries.
The performance and risk measurement specialist is also using machine learning to help drill into value-at-risk calculations.
As the industry scrambles to find the next best thing in a post-Libor world, the most viable emerging substitutions are based on actual transaction data, but still fall short.
WatersTechnology speaks with data specialists from all parts of the capital markets in an in-depth examination of deep learning's impact in finance.
Iwanaga is a veteran of the data industry, having served in data management roles at banks as well as data and technology providers in the US and Asia.
A new study finds that while large asset managers are investing in big data analytics and alternative data, it’s a fraught process.
Banks are looking to cash in on the alternative data boom, but an in-depth investigation of the alternative data market shows that they may be in for an uphill battle to claim territory.
Forays into selling data have been slowed by concerns over confidentiality, internal battles over its use and clean-up work on the data itself. Risk.net's Faye Kilburn reports.
The news comes one week after parent company Cinnober also changed leadership
Recent studies reveal the prevalence of poor-quality data, exacerbated by increased use of machine learning that allows users to dredge far bigger datasets and identify spurious correlations.