David Bellot

Vice President, Quantitative Strategist

Sydney, New South Wales, Australia
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Summary

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Senior
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Top School
David Bellot is a Vice President and quantitative strategist with 16 years of experience building low-latency, high-frequency trading systems and dozens of high-Sharpe signals deployed across global venues from NYSE and CME to HKEx and ASX. He combines deep probabilistic AI and Bayesian ML research (postdocs at INRIA and UC Berkeley) with hands-on C++ implementation of execution algorithms, market-impact models, and market/order-book simulators. He has led small PhD-level quant teams to deliver signal generation, execution optimization, pricing models and tick-data analytics, and still contributes to open-source C++ libraries such as Boost.uBlas. Based in Sydney, he has industry leadership experience at WorldQuant, Life Trading and Barclays and a track record of translating academic ML advances into production-grade HFT infrastructure. An unexpected strength is his blend of rigorous Bayesian research background with practical calibration using modern ML/AI to tune ultra-low-latency strategies.
code16 years of coding experience
job6 years of employment as a software developer
bookPostdoctoral Fellow Machine Learning, Postdoctoral Fellow Machine Learning at University of California, Berkeley
bookPhD Bayesian Machine Learning, PhD Bayesian Machine Learning at Université Henri Poincaré, Nancy 1
bookPostdoctoral Fellow Bayesian Machine Learning Bayesian Machine Learning, Postdoctoral Fellow Bayesian Machine Learning Bayesian Machine Learning at INRIA Grenoble
bookMSc Computer Science, MSc Computer Science at Aix-Marseille University
languagesFrench, English, Spanish, German
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Stackoverflow

Stats
651reputation
334kreached
9answers
8questions
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Github Skills (12)

c-language10
cprogramming-language10
linear-algebra10
documentation10
boost9
opencl6
pcap6
matrix6
environment-variables6
append6
r6
rscript6

Programming languages (6)

TypeScriptC++RCLuaHTML

Github contributions (5)

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boostorg/ublas

Apr 2010 - Jun 2019

Boost.uBlas
Role in this project:
userBack-end Developer
Contributions:261 commits, 17 PRs, 13 pushes in 9 years 3 months
Contributions summary:David's commits primarily focused on modifying and testing the `boostorg/ublas` library, specifically related to its vector components. The changes involve adding and testing comments in the source code, particularly within the `vector.hpp` file. The repeated modifications to the same file and the nature of the commit messages suggest a focus on code maintenance and testing of existing library features and doxygen documentation. The user appears to be contributing to the existing codebase by adding documentation and/or preparing the library for release.
linear-algebratensorboostmatrixvector
yimyom/SVG-cards

Nov 2013 - Jun 2018

Contributions:6 commits, 3 pushes, 1 comment in 4 years 7 months
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David Bellot - Vice President, Quantitative Strategist