Quant fund manager spurns vendors’ machine learning software

Ex-head of algo trading at JP Morgan says machine learning processes should be built internally


Financial firms looking to use machine learning to improve their practices should design the processes in-house rather than buy off-the-shelf software, according to the head of a quantitative hedge fund.

Isaac Lieberman, founder and chief executive of Aston Capital Management and the former head of algorithmic trading at JP Morgan, was speaking at the Buy-side Risk USA conference in New York on June 19. Buy-side interest in machine learning is growing rapidly, with potential uses ranging from a

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