How machine learning is being used in quantitative finance

In this episode of the Data Exchange our special correspondent and editor Jenn Webb speaks with Arum Verma, Head of Quantitative Research Solutions at Bloomberg. My first job post-academia was as lead quant in a small hedge fund. Since then, I’ve followed the industry from afar and I’ve long been interested in the role of data and models in financial services. Arun and I discussed quantitative finance when we ran into each other at the O’Reilly AI conference in London last year. He was slated to give a talk on extracting trading signals from alternative data sets, an important subject among quants.Jenn and Arun discussed a range of topics including:The quantitative finance landscape.The challenges in identifying and using alternative data sources.Applications of machine learning in finance, specifically deep learning and reinforcement learning.New natural language models and their applications in finance.Model Explainability and Model Risk Management.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.