Konark Jain
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKonark Jain is a quantitative researcher and AI enthusiast with eight years of experience applying machine learning and market-microstructure models to electronic trading and market risk at institutions including Tower Research Capital and JPMorgan Chase. He holds a BTech from IIT Guwahati with a mathematics minor and is pursuing a PhD in Computer Science at UCL, blending strong theoretical grounding with practical Python, C++, and MATLAB implementation skills. His research background spans Bayesian methods for deep learning, computer vision, face recognition, and reinforcement learning for optimization, with early internships at University of Sydney, DRDO, and DTU. As co-founder of IITG.ai he mentors peers and leads cutting-edge projects, and his work uniquely bridges explainable ML for VaR estimation with hands-on execution-model research in limit order books. Outside work he’s a voracious reader of scientific biographies, a chess player and cricket fan, bringing curiosity and disciplined problem-solving to complex quantitative challenges.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electrical and Electronics Engineering, Bachelor of Technology - BTech, Electrical and Electronics Engineering at Indian Institute of Technology, GuwahatiMVN School, Aravali Hills, FaridabadUniversity College London
English, Hindi
Github Skills (48)
bioinformatics10
genomics10
python9
cvs9
sequence-alignment9
offline-app9
machine-learning9
statistics9
phylogenetics9
protein-structure9
computer-vision8
data-analysis8
git-repository8
biopython8
uci8
Programming languages (3)
Github contributions (5)
konqr/konqr.github.io
Aug 2018 - May 2022
Contributions:43 pushes, 1 branch in 3 years 9 months
konqr/Fingerprint-Antispoofing
Nov 2019 - May 2020
Contributions:7 commits, 6 pushes, 1 branch in 6 months
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