Senior Quant Researcher
Emma conducts quantitative research in support of Rayliant’s quantamental ETFs, including research into localized trading signals in emerging markets. She also works closely with members of Rayliant’s CIO Office to develop insights from data on global macro trends with applications to the firm’s asset allocation strategies.
Prior to her role at Rayliant, Emma held a position in the data group at Millennium Management, collaborating with quant portfolio managers on data-centric aspects of the investment process.
Emma earned at a Master of Financial Engineering from the UCLA Anderson School of Management and a BS in Computer Science from the University of Washington.
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