Paul O'neill
Developer at Quantitative investment management firm
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPaul O'neill is a seasoned software engineer and leader with 16 years building high-performance trading systems and research platforms for quantitative firms. He has led engineering departments at Winton and low-latency teams at G-Research, combining hands-on C# and systems work (Aeron, SBE) with architecture-level oversight to deliver auditable, scalable software for multi-billion dollar trading. Currently developing a next-generation Order Management and Execution Platform, he champions AI-driven development tools to accelerate delivery and improve operational efficiency. His academic background—a PhD in data mining—adds depth to his approach to systems design and data-centric problem solving. Notably, he balances deep technical expertise with a track record of transforming legacy, Excel-based workflows into robust, production-grade infrastructure.
16 years of coding experience
10 years of employment as a software developer
BSc (Hons) Computer Science, BSc (Hons) Computer Science at Brunel University of LondonPhD Data mining techniques, PhD Data mining techniques at Brunel University (PhD)
English
Github Skills (22)
uniform9
hierarchical9
json-parser9
json9
json-serialization8
messagepack8
bson8
hierarchical-data8
msgpack8
cbor8
json-patch7
hydra7
json-pointer7
clang7
cpp7
Programming languages (1)
Github contributions (5)
proteanic/protean
Dec 2009 - Feb 2013
A library for representing hierarchical data in a uniform way across multiple platforms
Contributions:24 commits in 3 years 2 months
platformshierarchicalhierarchical-datastatefulhydra
trentrichardson/JsonSQL
Sep 2016 - Sep 2016
Contributions:1 PR in 1 day
querysql-syntaxsqldatabasejson-objects
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