Thomas Delaney
Quantitative Analyst
Aarhus, Central Denmark Region
Summary
👤
Senior🎓
Top SchoolThomas Delaney is a Senior Quantitative Analyst based in Aarhus with nine years of experience building automated trading and research systems across energy, FX and ETF markets. He combines a PhD in Computational Neuroscience and academic experience modelling perception with hands-on kdb+ development and production data engineering, giving him a rare ability to turn probabilistic models and machine learning research into robust, low-latency trading infrastructure. At Danske Commodities he develops fully automated pipelines and simulation frameworks, having previously owned end-to-end data and simulation stacks for a proprietary trading firm. His background working directly with C-suite stakeholders on P&L reporting and large-scale kdb+ installations at tier-one financial firms underpins a pragmatic focus on reproducible results and business impact. An appetite for cross-domain problem solving means he often applies neuroscience-inspired probabilistic reasoning to financial modelling challenges.
9 years of coding experience
8 years of employment as a software developer
Master’s Degree, Informatics, Distinction, Master’s Degree, Informatics, Distinction at The University of EdinburghBachelor of Arts (B.A.), Mathematics with Theoretical Physics, 1:1, Bachelor of Arts (B.A.), Mathematics with Theoretical Physics, 1:1 at Trinity College, DublinDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Bristol
gaeilge, English, FrenchGithub contributions (5)
thomasjdelaney/Friday-Facemelters
Mar 2021 - Feb 2025
Contributions:53 pushes, 1 branch in 3 years 11 months
thomasjdelaney/Latex
Nov 2018 - Jan 2021
Contributions:252 pushes, 1 branch in 2 years 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.