Summary
Jamie Corderoy is a quantitative researcher and trader based in London with a decade of experience applying Python-driven analytics to financial markets. Currently at GSA Capital, he progressed from quantitative developer to researcher/trader, combining production software engineering with research-grade model development. Past roles at Quadrature Capital and other labs show hands-on work in NLP for market signals, modified LOESS implementations, and automation for scientific instruments—demonstrating both breadth across domains and depth in algorithmic implementation. Comfortable moving models from research into production, he pairs statistical rigor with practical engineering to deliver deployable alpha signals. A Natural Sciences (Physics) graduate from Queens’ College, Cambridge, he brings scientific problem-solving and an unusual mix of particle-instrument automation and hedge-fund quant experience.
10 years of coding experience
2 years of employment as a software developer
High School, High School at King's College School Wimbledon
Bachelor’s Degree, Natural Sciences (Physics), Bachelor’s Degree, Natural Sciences (Physics) at Queens College, Cambridge
English