Aaron Stockdill is a Quantitative Technologist at Qube RT with a decade of software engineering experience building Python systems for quantitative research. He holds a PhD in Computer Science from the University of Cambridge and brings a strong academic foundation in algorithms, AI, and logic to practical trading technology. His background spans functional languages (OCaml, Standard ML, ReScript) and web-focused stacks (TypeScript, JavaScript), reflecting a fluency in both formal methods and production engineering. Aaron has combined academic roles—supervising courses from Prolog to Interaction Design—with industry positions at proprietary trading firms and research institutions, bridging theory and applied finance. He co-founded a small software studio and has a track record of teaching and mentoring across multiple universities, suggesting strong communication skills alongside technical depth. Based in London, he’s a pragmatic researcher-developer who prefers principled, language-aware solutions to complex quantitative problems.
10 years of coding experience
3 years of employment as a software developer
High School, Excellence, High School, Excellence at Cashmere High School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Cambridge
Bachelor's Degree with Honours, Computer Science and Mathematics, GPA 8.85 of 9, Bachelor's Degree with Honours, Computer Science and Mathematics, GPA 8.85 of 9 at University of Canterbury
Contributions:484 commits, 127 pushes, 5 branches in 1 year 5 months
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