Robert Hatem is a Senior Data Scientist in Boston with a decade of experience designing and deploying quantitative equity strategies that blend machine learning, NLP, and traditional statistical models. He has driven production-ready alpha improvements at State Street and now applies scalable ML and distributed computing at Fidelity, translating research into Spark-enabled pipelines. Comfortable across Python, R, SQL and familiar with TensorFlow/PyTorch, he pairs deep model expertise (from gradient boosting to neural nets and topic modeling) with practical engineering—having moved multi-billion-row datasets into production and improved risk-adjusted returns. His background in physics and financial mathematics informs a data-first, principled approach to factor research, and he has a track record of squeezing signal from unconventional sources (OCR, web traffic, 8-K text) to create tradable edges.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Physics, Bachelor’s Degree, Physics at Boston College
Marine Biology, Marine Biology at St. Paul's School Advanced Studies Program
Master's degree, Financial Mathematics, Master's degree, Financial Mathematics at University of Chicago
Contributions:12 commits, 11 pushes, 1 branch in 1 month
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