Rob Taylor
Quant Strategist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRob Taylor is a Quant Strategist with a PhD in High Energy Physics from Imperial College London and a decade of experience applying statistical modelling, machine learning and signal-processing techniques to noisy, high-volume data. He moved from experimental physics—where he built Python-based analysis frameworks, GAN simulators and likelihood-based inference for the LUX-ZEPLIN dark matter experiment—to machine learning engineering and discretionary global macro quant trading. Rob has delivered production ML and data products at startups and in industry, improving experimental performance by 20% and driving trading research at Maniyar Capital before joining Alphadyne. He combines rigorous Monte Carlo and hypothesis-testing skills with practical software engineering (NumPy, Pandas, TensorFlow, PyTorch) to translate complex data into robust trading signals. Colleagues describe him as a research-minded engineer who mentors junior analysts and bridges academic rigor with production demands. Based in London, he thrives on problems that sit at the intersection of noisy sensors, probabilistic inference and real-world decision-making.
10 years of coding experience
2 years of employment as a software developer
Oakwood Park Grammar SchoolDoctor of Philosophy (Ph.D.) High Energy Physics, Doctor of Philosophy (Ph.D.) High Energy Physics at Imperial College LondonBachelor’s Degree MPhys Physics, Bachelor’s Degree MPhys Physics at University of LeedsBachelor’s Degree Physics (Year abroad), Bachelor’s Degree Physics (Year abroad) at McGill University
English
Github Skills (33)
statistics8
pandas7
python7
data-analysis6
yaml6
datasets6
data-science6
plotly5
voila5
matplotlib5
jupyter5
cpython5
monitoring5
dashboard4
pure-python4
Programming languages (2)
Github contributions (5)
rob-tay/fast-carpenter
May 2019 - May 2019
Contributions:10 pushes, 2 branches in 6 days
rob-tay/bank
Apr 2016 - Apr 2016
Contributions:3 pushes, 1 branch in 1 day
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