Arsalan Azmi

Investments at Marshall Wace

London, England, United Kingdom
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Summary

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Senior
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Top School
Arsalan Azmi is a quantamental researcher and software engineer with nine years’ experience blending quantitative finance, AI and production engineering across London and Singapore. He has progressed at Marshall Wace from execution and alternative data engineering to quantamental implementation and now research, applying ML, knowledge-graph and high-performance computing techniques to trading problems. Prior roles include building knowledge-graph systems at Versed AI, DeFi strategy and engineering, and equities trading platforms at J.P. Morgan, reflecting a mix of startup agility and institutional rigour. A co-founder and former CTO, he brings product instincts alongside hands-on systems design and a formal background in AI and computer science from Aberystwyth. Based in London, he’s comfortable moving between research prototypes and production-grade execution — a practical engineer who bridges data science, low-latency systems and applied ML.
code10 years of coding experience
job3 years of employment as a software developer
bookBachelor of Science, Computer Science and Artificial Intelligence, Bachelor of Science, Computer Science and Artificial Intelligence at Prifysgol Aberystwyth University
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Stackoverflow

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Github Skills (57)

markdown9
cpp8
swift8
clipboard8
data-structures8
dsa-algorithm8
php8
java8
javascript8
nodejs8
algorithm8
r8
appwrite7
ruby7
solana7

Programming languages (9)

TypeScriptJavaqShellJavaScriptGoObjective-CHTML

Github contributions (5)

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lethalazo/adorbx

Aug 2018 - Aug 2018

Repo for Adorbx. Adorbx is a all in one tiny app with a beautiful ui and fundamental functionalities.
Contributions:1 release, 17 commits, 10 pushes in 4 days
all-in-onetinyandroidtiny-appfundamental
lethalazo/cpp-calc

Feb 2019 - Sep 2021

Contributions:5 commits, 4 pushes, 1 branch in 2 years 7 months
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