Raymond Mctaggart
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRaymond Mctaggart is a Data Scientist with 12 years of experience specializing in evaluating and productizing alternative data for finance and insurance applications. He has led end-to-end data product lifecycles—from sourcing and signal evaluation to structuring and production deployment—at firms including Cubist Systematic Strategies and Quandl. Trained in Applied Mathematics and Statistics at the University of Toronto, he combines rigorous quantitative skills with hands-on engineering experience gained as a senior data engineer at Assurance IQ. Raymond is notable for translating obscure or “undiscovered” datasets into actionable, documented products and for building tooling (R/Matlab packages) to reliably surface those insights to clients. Based in New York, he blends market-focused curiosity with practical delivery, often surfacing trading-relevant signals from unconventional sources.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Applied Mathematics and Statistics, Bachelor of Science (B.Sc.), Applied Mathematics and Statistics at University of Toronto
Github Skills (43)
r-package10
api-client10
quandl10
matlab10
octave10
r9
forecasting-models9
forecasts9
forecasting9
forecast9
python8
pypi8
pythonic7
zipline7
quantitative7
Programming languages (7)
Github contributions (5)
quandl/quandl-r
Jun 2014 - Jul 2019
This is Quandl's R Package
Contributions:36 commits, 26 PRs, 40 pushes in 5 years 2 months
api-clientquandl-apir-packagerstatsquandl
quandl/Matlab
Jun 2014 - May 2019
Quandl's Matlab module
Contributions:26 commits, 7 PRs, 24 pushes in 5 years
quandloctavematlab
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