Artificial intelligence (AI)
The Secret Source: Machine Learning and Open Source Come Together
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
The Rise of the Robot Quant
The latest big idea in machine learning is to automate the drudge work in model-building for quants
Machine Learning Takes Aim at Black-Scholes
Quants are embracing the idea of ‘model-free’ pricing and deep hedging.
AI on Our Minds: Firms Struggle with How to Incorporate AI
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.
Tug of War: ING's Legrand Digs Into the Bank's Innovation Program
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.
Brown Brothers Harriman's Welch Explains Bank's Use of Artificial Intelligence
The bank has a number of projects using emerging technologies, one of which optimizes the process of detecting price anomalies.
DBS Bank Grows its Team of Data Translators
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.
FIS Turning to Machine Learning for Private-Equity Solutions
FIS is pushing to add greater automation for its private-equity business in an effort to streamline workflows.
Finra to Expand Use of Machine Learning for Market Surveillance
The regulator already uses machine learning to identify spoofing and layering activities.
Machine Learning Shakes Up Classical Financial Risk Modeling
BlackRock, MSCI, and La Française are some of the firms looking to replace traditional, linear risk models.
The AI Ethics Dilemma: Banks Find a Fine Line Between New Tech and 'What's Right'
Finance firms and regulators are beginning to assess the ethical implications of artificial intelligence.
Banks, Asset Managers Turn to Web Scraping to Generate Alpha
The immense growth of online data is driving an increasing number of asset managers to deploy web-scraping tools to find unique investment insights.
Fighting the Bad Robots: AI Raises Questions About Ethics
Artificially intelligent algorithms are not infallible—as Jo Wright explains, it’s quite the opposite.
Tapping AI for Buy-Side Growth
Asset managers wanting to thrive in today’s landscape of squeezed margins must learn how to capitalize on innovative AI tech to deliver top-line growth, according to SS&C Technologies.
Machine Learning as a Tool: What Is Your Problem?
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.
Mizuho Finds New Ways to “Activate” its Data Using AI
The Japanese bank has already automated handwritten form processing and is experimenting with AI to make use of its unstructured data.
The KYC Headache Worsens: An Examination of the Onboarding Process
Despite technological advancements, the onboarding process is still a slog. Banks and vendors are trying to change that.
Acadian: Beware Quant Snake Oil
The quant firm’s Seth Weingram lays out his principles for the effective use of machine learning.
Morgan Stanley Explores Using AI to Better Trade Equities
The bank is also looking at using AI for intelligent IOI suggestions based on clients’ trading profiles.
Plus ça Change: Data Management is a Perennial Problem
The pace of change—in politics and in fintech—over the past few years has been breathtaking. Jo finds out at NAFIS, however, that some things never change.
Asset Managers Chase Signals in ESG Noise
Machine learning can tell stories from large datasets to drive alpha, say quants.
Liquidnet Builds Netflix-like Functionality for Buy Side
The company is leveraging AI to make investment suggestions and dig out sentiment from spoken announcements.
Heating Up: An In-Depth Look at How Investment Firms Use Carbon Data
As ESG data becomes more of a commodity, firms are struggling with how best to incorporate carbon data.
Brown Brothers Harriman Experiments with Machine Learning
The firm is developing machine learning models internally to optimize the reconciliation process and detect price anomalies.