Rafay Kalim
Quantitative Researcher
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRafay Kalim is a quantitative researcher with 11 years of experience blending machine learning, mathematical optimization, and financial markets expertise. Currently building portfolio construction solutions at Connor, Clark & Lunn after roles in quantitative equities, electronic trading at RBC, and a Supercharger network optimization internship at Tesla, he brings practical production experience across asset classes and operations. He holds advanced training in Financial Engineering and Engineering Science from the University of Toronto, grounding his work in rigorous math, statistics, and finance. Rafay’s background spans both research and software engineering—moving models from prototype to trading systems—and he’s comfortable interfacing with trading desks and engineering teams. Outside work he’s interested in travel and history, a perspective that often informs his pragmatic approach to complex problems.
11 years of coding experience
1 year of employment as a software developer
Master's Degree Financial Engineering, Master's Degree Financial Engineering at University of Toronto
English, Urdu
Stackoverflow
115reputation
5kreached
1answer
6questions
Github Skills (50)
face10
pose10
human-pose-estimation10
keypoint9
caffe9
openpose9
android-widget9
face-detection9
opencv9
pose-estimation9
google-cloud-vision9
face-recognition9
speed-dial9
cpp9
computer-vision9
Programming languages (7)
Github contributions (5)
rafayk7/kickstarterPrediction
Jan 2019 - Jun 2019
A data science model to predict the success of a Kick Starter Project!
Contributions:2 PRs, 11 pushes, 2 branches in 5 months
pythonsciencedata-sciencepredictmachine-learning
rafayk7/tesseractDataGenerator
Jun 2019 - Jul 2019
Contributions:13 commits, 7 pushes, 1 branch in 16 days
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