Michael Frederikse is a senior investment analyst in the custom income strategies (CIS) group at Loomis, Sayles & Company. In this role, he focuses on the group’s work in the areas of buy & maintain, insurance solutions, separately managed accounts and cash flow matching. Michael joined Loomis Sayles in 2017 as a
machine learning engineer in the technology department, where he led the artificial intelligence and machine learning group, developing tools, algorithms and strategies to complement the investment processes for all teams at Loomis Sayles. He joined the CIS group in 2021. Previously, Michael was the lead data scientists at Pattern, Inc. He earned a BS from Brandeis University.