Freddie Mac
Haixi Li is an experienced quantitative analytics professional with a strong background in modeling and forecasting. Currently serving as a Quantitative Analytics Manager at Freddie Mac since September 2015, Haixi has developed advanced statistical models, including a Spatial-temporal model that integrates Graph Neural Networks with Recurrent Neural Networks for house price forecasting and a State-Space Model utilizing Deep Neural Networks and Copulas, achieving notable performance improvements. Prior to this role, Haixi worked as a Quantitative Analytics Senior at Freddie Mac, where extensive reviews of various financial models took place, including those focused on residential mortgages. Haixi began a career in risk modeling at JPMorgan Chase & Co. as a Risk Modeling Associate, creating statistical credit risk models and loss forecasting systems. Academic credentials include a PhD in Economics from the University of Wisconsin-Madison, complemented by a Master's and Bachelor's degree in Economics from the University of Toronto.
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Freddie Mac
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Freddie Mac makes home possible for millions of families and individuals by providing mortgage capital to lenders. Since its creation by Congress in 1970, it has made housing more accessible and affordable for homebuyers and renters in communities nationwide. Freddie Mac is building a better housing finance system for homebuyers, renters, lenders and taxpayers.