Machine Learning in the Capital Markets: Waters Takes an Inside Look

Anthony Malakian looks at a dozen live projects in the capital markets that use machine-learning tools to improve front-, middle-, and back-office processes.

Desmond Lun spent much of his academic career focused on computational biology. In 2006, after earning his PhD in electrical engineering and computer science from MIT, he became interested in understanding how applying techniques for analyzing big data problems in biology could predict financial market outcomes. Lun began trading, trying out ideas from his own work in computational biology and developing new methods geared toward finance. It took six years to develop the core of the platform tha

To continue reading...