Led by Bryan Cross (pictured), the asset manager's QED team aims to blend quant and fundamental to find unique solutions to new problems.
Climate, Brexit and ethical AI were all on the agenda at the massive conference this year, as cloud, cybersecurity and APIs remained major topics of discussion.
Revamping systems for STP is more useful than robotics applied to limited aspects of operations and workflow.
The investment manager's move to tackle unstructured data is starting with sell-side analyst reports.
An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.
The company is using machine learning and natural-language processing technology to enhance its Tamale and Geneva platforms.
Firms are reluctant to move ahead with AI technologies as there is little regulatory guidance on its ethical implications, exchange providers say.
The French bank plans to make its KYC offering available to external clients by the end of the year as it continues to enhance SG Markets.
A look at some of the key "people moves" from the week of Sept. 9 to Sept. 13.
Financial services firms are deeply entranced with artificial intelligence (AI), yet the revolution is under pressure as the industry continues to become more educated and selective about it. Recent research data from WatersTechnology and SmartStream…
After a run at Alibaba's Ant Financial, Badran is ready to lead the 160-year-old institution's digitization efforts.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
The latest big idea in machine learning is to automate the drudge work in model-building for quants
Quants are embracing the idea of ‘model-free’ pricing and deep hedging.
The hype of artificial intelligence is far from fading—actually, it’s more like a building tidal wave. Wei-Shen wonders if the capital markets will catch the wave, or get smothered by the tide.
With Benoît Legrand firmly in the driver’s seat, the last four years have seen ING push to transform its IT landscape and approach to innovation.
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.
FIS is pushing to add greater automation for its private-equity business in an effort to streamline workflows.
The regulator already uses machine learning to identify spoofing and layering activities.
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
The immense growth of online data is driving an increasing number of asset managers to deploy web-scraping tools to find unique investment insights.
Artificially intelligent algorithms are not infallible—as Jo Wright explains, it’s quite the opposite.