Deploying Models In An Evolving Housing Market

Chris Murphy, Senior Director and Data Scientist at Homepoint, discusses how AI plays an important role in their mission of supporting successful homeownership. He shares his background in physics and transition into financial services, emphasizing the transferable skills in modeling techniques and approaching challenges. Homepoint's machine learning use cases span various areas of the business, including operations optimization, predicting refinancing or delinquency rates, outlier detection, text reading, optical character recognition (OCR), and infrastructure building. To ensure success when applying state-of-the-art ML techniques into established processes, Homepoint's data science team focuses on setting up the right processes from the beginning and maintaining constant communication with business partners and operations teams. They use a variety of explainability and bias tracing techniques to ensure fairness across the board.

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