Scott Payseur
Director Of Data Science & Analytics
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolScott Payseur is a PhD-trained economist and data science leader with 17 years of experience applying econometrics, forecasting, and machine learning to asset allocation, pricing, and product strategy. Currently Director of Data Science & Analytics at FEV Analytics after leading quantitative science and multi-asset research teams at Principal and Summit, he has built production forecasting dashboards and market-timing models that inform decisions on billions in assets. Comfortable bridging academia and industry, he has taught graduate macroeconomics, commercialized academic research, and guided fintech incubation projects at Amazon. Known for turning complex statistical models into clear decision tools, he also brings early-career software engineering chops from roles at ShareBuilder and ESPN that help him deliver reproducible, production-ready systems.
17 years of coding experience
18 years of employment as a software developer
PhD Econometrics, PhD Econometrics at University of WashingtonBS Computer Science, BS Computer Science at University of Colorado BoulderAbroad Study Abroad, Abroad Study Abroad at University of Wollongong
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
estimate10
noise9
forecast9
periodicity8
volatility8
financial-data7
financial7
finance6
Programming languages (2)
Github contributions (5)
payseur/scott.github.io
Aug 2022 - Mar 2025
Contributions:6 PRs, 103 pushes, 5 branches in 2 years 8 months
cran/realized
Dec 2008 - Aug 2010
Contributions:3 commits in 1 year 7 months
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