Nathan Epstein
Quantitative Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolNathan Epstein is a quantitative engineer in New York with 11 years of experience building data-driven trading and analytics systems across hedge funds and financial technology firms. He blends applied math and operations research training with hands-on software craft—shipping distributed data pipelines, risk analytics, and NLP-driven sentiment strategies using Python, C#, C++, Scala and big-data tools like Spark and Kafka. A committed open-source contributor and member of several foundations, he also publishes research and speaks at conferences, signaling a practice grounded in reproducible science and community engagement. Notably, his background spans both product-facing marketing analytics and low-latency financial infrastructure, giving him rare fluency from experimentation to production.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS), Applied Mathematics, 3.6, Bachelor of Science (BS), Applied Mathematics, 3.6 at Columbia University - Fu Foundation School of Engineering and Applied ScienceMaster of Liberal Arts, International Relations, 3.9, Master of Liberal Arts, International Relations, 3.9 at Harvard University
Github Skills (60)
python10
exploratory10
data-science10
stochastic10
machine-learning10
masters10
markov-decision-processes10
deep-learning10
stochastic-processes10
interval-arithmetic10
d3js10
markov10
k-means-clustering9
reinforcement-learning9
simulation9
Programming languages (3)
Github contributions (5)
NathanEpstein/D3xter
Oct 2014 - Jul 2016
Straight forward plotting built on D3
Contributions:1 release, 85 commits, 6 PRs in 1 year 8 months
forwardd3jsdata-visualizationplottingvisualization
NathanEpstein/pydata-reinforce
Mar 2016 - Jun 2016
Contributions:35 commits, 4 PRs, 13 pushes in 2 months
pythonpresentationmadridpydata
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