Quant fund manager spurns vendors’ machine learning software

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

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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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