Zac Keskin
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolZac Keskin is a quantitative researcher and data scientist with eight years' experience applying mathematical computing and information-theoretic methods to electronic equities trading. Currently at East Alpha after four years as an Electronic Trading Quant VP at Barclays, he builds predictive algorithms and statistical models that bridge theory and low-latency trading practice. A UCL MSc in Scientific Computing and a Physics BSc from Imperial underpin his work in causality-aware analysis of financial time series. Known for combining creative mathematics with production-grade software, he brings both research rigor and hands-on implementation experience to high-frequency trading problems. An analytical thinker based in London, he often draws on cross-disciplinary ideas—physics, information theory and computing—to uncover non-obvious signals in market data.
8 years of coding experience
9 years of employment as a software developer
Wisbech Grammar SchoolBachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at Imperial College LondonUniversity College London
Github Skills (21)
arima9
predictive9
causality7
intellisense6
vscode5
vscode-extension5
time-series5
python5
visual-studio-code4
mining4
visual-studio4
pylint3
statistics3
astrophysics2
machine-learning2
Programming languages (2)
Github contributions (5)
ZacKeskin/PyCausality
Jul 2018 - Dec 2018
Calculate predictive causality between time series using information-theoretic techniques
Contributions:33 commits, 14 pushes, 1 branch in 5 months
techniquestime-series-analysisarimapredictivetrends
ZacKeskin/HPC
Feb 2018 - Jun 2018
Contributions:4 commits, 3 pushes, 1 branch in 3 months
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