Justin Bleich is a data science and quantitative research leader with 12 years of experience building production-ready forecasting systems and risk models, currently heading Macro, Risk, and Data Science at Coatue in New York. He blends a business-first pragmatism with deep statistical expertise—PhD-level work in Bayesian ensembles and randomized forest extensions—and a hands-on ability to implement scalable prediction workflows. As a founder and former CTO of a SaaS startup, he has led data and engineering teams through productization and fundraising, and he has taught advanced predictive modeling at Wharton. Justin favors rapid experimentation and building flexible tooling that lets teams iterate on hypotheses quickly, believing strong programming skills are essential for data scientists. His background spans finance, healthcare, and criminal justice applications, and he has produced several R packages and research contributions that make "black-box" models more interpretable.
12 years of coding experience
3 years of employment as a software developer
BS Economics Finance and Statistics, BS Economics Finance and Statistics at The Wharton School
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Justin Bleich - Sector Head - Macro, Risk, And Data Science