Daniel Swanson is a senior modeler at Andrew Davidson & Co., where he leads development of LoanDynamics, a sophisticated transition-based model that forecasts prepayments, defaults, and severities for mortgage portfolios. His work combines advanced statistical modeling with economic experience to help financial institutions better understand and manage mortgage risk.
Since joining AD&Co in 2004, Daniel has evolved from developing the firm's core software infrastructure to focusing on behavioral modeling and quantitative research. This unique trajectory - from software engineering to statistical modeling - gives him deep insight into both the technical implementation and theoretical foundations of mortgage analytics.
Daniel is a contributor to The Pipeline, AD&Co's quarterly industry newsletter, where he translates complex modeling concepts into actionable insights for practitioners as well as a regular speaker at industry conferences on topics including prepayment modeling, credit risk forecasting, and the application of statistical methods to mortgage finance.
Daniel holds a BS in Computer Science from Johns Hopkins University and an MS in Economics from New York University.