Summary
Cole Diamond is a machine learning engineer and quantitative researcher with 11 years of experience building production ML systems and systematic trading strategies across top-tier firms. He has applied ML from late-stage ranking at Instagram and platform-scale problems at Meta and Reddit to stat-arb and portfolio management at Millennium, Balyasny, and Chicago Trading Company. Comfortable moving between research and production, he combines reinforcement learning, alternative data, and scalable engineering to extract signals that perform in live markets and consumer products. Trained at Columbia (BS CS) and Harvard (MS CSE), he brings both rigorous academic grounding and hands-on deployment experience. Based in Great Neck, NY, he has a track record of translating sophisticated models into automated, risk-aware strategies that consistently delivered strong results. A less obvious thread across his career is a knack for surfacing pragmatic safeguards—backup systems and production guardrails—that keep high-risk ML pipelines robust in the real world.
11 years of coding experience
9 years of employment as a software developer
High School Degree, High School Degree at Great Neck North High School
Master's Degree Computational Science and Engineering, Master's Degree Computational Science and Engineering at Harvard University
BS Computer Science and Minor in Economics, BS Computer Science and Minor in Economics at Columbia University
Spanish