Bloomberg's Eugene Stern and Brad Foster discuss data challenges relating to the Fundamental Review of the Trading Book (FRTB).
PineBridge Investments uses economic and time-series data analytics provider Macrobond Financial to better its economics research, which supports its portfolio managers and the firm’s overall investment thesis.
The new offering blends existing Axioma risk models into a single, nuanced risk assessment.
Advancements in modeling and the rise of alt data have made the process of prepping for the US presidential election more complex, but hopefully more accurate.
Data scientists, IT teams, and the business professionals should work together when deploying emerging technologies and data science models. Otherwise, they may be setting themselves up to fail.
Eric Tham of the National University of Singapore said during the Innovation Exchange that explainability is an afterthought at banks when they develop their AI-driven models. Unsurprisingly, some bankers did not agree.
The firm is testing the tool with a few clients before making it available to a broader audience.
As Covid-19 impacted companies and markets in March, the machine-learning startup sought to help clients better manage risk exposures that couldn't be explained by traditional risk factors.
About two dozen Refinitiv clients have early access to the tool.
For good reason, machine learning has a highly technical focus. But less talked-about challenges lie in managing the human capital and workflows associated with the tech.
The firm's chief scientist discusses how NLP is being used to prevent the spread of the coronavirus and how it can be applied for financial services.
The offering, which took more than a year to build, combines deep, transfer and human-in-the-loop loop learning to find patterns.
The bank is looking to pair this relatively new role with its data scientists as a bridge for business professionals.