David Englert
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDavid Englert is a quantitative researcher with 11 years of experience combining a PhD in High Energy Physics and a track record of applying advanced statistical modelling and data analysis to finance at J.P. Morgan. He bridges academic rigor and industry impact, having transitioned from physics research and international fellowships (CERN, Swiss NSF, Wigner) into machine learning and quantitative roles. Comfortable with complex probabilistic methods and large datasets, he has delivered research-grade solutions in production trading environments. Based in London, he is particularly interested in roles that challenge both his modelling depth and software engineering skills, and brings a habit of translating novel research ideas into robust, deployable code.
12 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of SouthamptonBachelor's Degree, Bachelor's Degree at Budapest University of Technology and EconomicsMaster's Degree, Master's Degree at Eötvös Loránd UniversityDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Queen Mary University of London
Hungarian, English
Github Skills (10)
holoviz9
holoviews9
jupyter7
visualization7
javascript6
data-visualisation6
python6
bokeh5
data-visualization3
algorithm2
Programming languages (3)
Github contributions (5)
denglert/PKPCorrel
Sep 2014 - Oct 2015
Contributions:56 commits, 33 pushes, 1 branch in 1 year 1 month
denglert/sync-dotfiles
Nov 2016 - Dec 2021
Contributions:134 pushes, 1 branch in 5 years 2 months
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