Wouter Van Amstel

Trader at Group One Trading

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Wouter Van Amstel is a data scientist and derivatives trader with 11+ years blending quantitative finance and machine learning across trading desks and product teams. He has deep, hands-on experience in volatility arbitrage, dispersion and relative value trading alongside building scalable NLP and ML systems using Spark/MapReduce and databases like PostgreSQL, MongoDB, ElasticSearch and Cassandra. Wouter has led data science teams to productionize language-driven models in radiology and developed novel NLP methodologies that retained major enterprise clients. Technically fluent in Python, C/C++ and R, he pairs model research with production engineering—implementing test-driven code and collaborating closely with product and UX. Based in San Francisco, he brings engineering discipline from geotechnical and mining degrees to both market microstructure problems and large-scale unstructured data. An uncommon strength is his ability to translate cross-disciplinary insights (trading intuition, NLP, and systems engineering) into robust, revenue-driving solutions.
code12 years of coding experience
job8 years of employment as a software developer
bookMS, Geotechnical Engineering, MS, Geotechnical Engineering at University of California, Berkeley
bookMS, Mining & Petroleum Engineering, MS, Mining & Petroleum Engineering at Delft University of Technology
languagesDutch, French, German
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Github Skills (3)

git8
github8
word2vec1

Programming languages (2)

Rich Text FormatPython

Github contributions (5)

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wvanamstel/equity

Sep 2015 - May 2016

Contributions:107 pushes, 1 branch in 8 months
wvanamstel/snakes

Jun 2023 - Jul 2025

Contributions:2 PRs, 9 pushes, 3 branches in 2 years 2 months
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