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
The new service for traders employs time series analysis to forecast rates for securities lending.
Quants are embracing the idea of ‘model-free’ pricing and deep hedging.
A look at how banks, vendors & colleges are partnering to solve finance problems using quantum science.
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.
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 administrator is looking at how artificial intelligence can be used to extract online sentiment and create customized alternative data services to attract clients.
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.
Artificially intelligent algorithms are not infallible—as Jo Wright explains, it’s quite the opposite.
The call of artificial intelligence and machine learning is alluring. However, Wei-Shen says they can be tough to deal with, especially when shooting at invisible targets.
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.
Fee compression and regulations have forced some asset managers to rethink what is core to their business, including the trading desk. Enter the outsourced trading desk.
As the regulator looks at new ways to handle data, there are still a lot of paths to consider.
Despite technological advancements, the onboarding process is still a slog. Banks and vendors are trying to change that.
Combined offering from Crux and Google Cloud can slash data onboarding times, says vendor
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Liquidnet plans to use Prattle's natural-language processing and machine learning capabilities to boost its analytics offerings.
Refinitiv's risk intelligence solutions utilize Trulioo's verification system and data hub to help institutions more efficiently meet KYC requirements.