Summary
Joe Rothermich is a seasoned quantitative researcher and AI leader with 12+ years building data-driven investment products and founding fintech ventures. He has led teams at Thomson Reuters/Refinitiv and LSEG’s StarMine, shipping quantitative alpha models, alternative-data signals, and LLM-powered event detection for institutional investors. Joe combines hands-on model development and product delivery—he’s managed hedge-fund strategies, launched regional data science labs in Singapore and Boston, and co-founded a SaaS FX hedging startup. Based in San Francisco, he now advises a digital correspondent bank while returning to quantitative research at AQT, blending startup agility with enterprise-scale data expertise. An early innovator in applied ML, he holds an MSc in Natural Computation and a patent-backed history of creative data-driven tools.
12 years of coding experience
20 years of employment as a software developer
Bachelor of Science (BS) Systems Analysis, Bachelor of Science (BS) Systems Analysis at Miami University
MSc Natural Computation Machine Learning & AI Nature Inspired Computation Data Science, MSc Natural Computation Machine Learning & AI Nature Inspired Computation Data Science at University of Birmingham