Pendal, one of Australia’s largest and most enduring pure investment managers, has made its first appointment of a dedicated Machine Learning Quantitative Analyst in its Bond, Income & Defensive Strategies boutique, led by Vimal Gor.
Itay Feldman has been recruited, initially on a one year basis, with a brief to integrate Machine Learning into the Bond, Income & Defensive Strategies investment process. His role will be to utilise Machine Learning algorithms to provide a layer of filtering and analysis over the team’s current suite of quantitative models.
Mr Feldman joins Pendal from Advantage Data where he was a data scientist. He previously worked in New York City as an investment banker with MR Beal & Co and Ramirez & Co.
A former head of quantitative analysis and financial modelling for MR Beal, Mr Feldman specialised in building bond optimisation models, fixed income and swap pricing models.
He holds a Master of Information Technology (Data Science) from the University of New South Wales, an MBA from Rice University, a Bachelor of Arts in Economics and a Bachelor of Applied Science in Bioengineering from the University of Pennsylvania.
Mr 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.”
