Arsalan Azmi
Quantamental Researcher at Marshall Wace
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolArsalan 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.
9 years of coding experience
4 years of employment as a software developer
BSc Hons Artificial Intelligence and Computer Science, BSc Hons Artificial Intelligence and Computer Science at Prifysgol Aberystwyth UniversityPhysics Mathematics and Further Mathematics, Physics Mathematics and Further Mathematics at Pace Junior Science College
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (90)
javascript9
markdown9
clipboard9
dsa-algorithm8
formulas8
appwrite7
euler7
cordova-android7
r7
dremio7
anchor7
java7
cas7
adapter7
nodejs7
Programming languages (9)
Github contributions (5)
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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