Pendal appoints Machine Learning Quantitative Analyst

Investment manager Pendal has announced the appointment of Itay Feldman as the first dedicated machine learning quantitative analyst in the firm's bond, income & defensive strategies boutique, led by Vimal Gor.

In this role, Feldman will utilise machine learning algorithms to provide a layer of filtering and analysis over the team's current suite of quantitative models.

Gor said: "We believe that investment markets are entering a period of secular change and we are constantly looking at ways to improve and evolve our invest process to prepare for this change. I believe that it is inevitable that machine learning will be embedded into investment decision making processes, the only questions are when to do it, and how."

Feldman joins Pendal from Advantage Data where he worked as a data scientist. Previously he worked in New York City as an investment banker with MR Beal & Co and Ramirez & Co, and as head of quantitative analysis and financial modelling for MR Beal.