Marcel Stampfer - Quantitative Developer

Marcel Stampfer

Quantitative Developer

London, England, United Kingdom

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Summary

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Senior

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Marcel Stampfer is a seasoned quantitative developer and financial engineer based in London with over a decade of hands-on experience building low-latency, high-throughput trading and risk systems for leading banks and hedge funds. He combines a deep academic background in physics and quantitative finance with practical expertise in C++, Python, multithreading, and proprietary platforms to deliver production-grade models and infrastructure for FICC and derivatives trading. As founder and CEO of an AI-focused FinTech, he translated alternative data and machine learning into deployable trading signals, and today contributes quantitative engineering skills at Millennium. His career spans strategic roles at Goldman Sachs, Macquarie and major consultancy work modernising clearing and margin systems, evidencing both trader-facing and systems-architecture impact. An early contributor to machine learning coursework implementations on GitHub, he blends research-level thinking (PhD-level training) with pragmatic software craftsmanship. Colleagues rely on him to bridge complex quantitative research and robust, low-latency production code.

13 years of coding experience

22 years of employment as a software developer

Bachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at University of California, Berkeley

Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Eidgenössische Technische Hochschule Zürich

Diplom Physiker (M.Sc.), Physics and Mathematics, Diplom Physiker (M.Sc.), Physics and Mathematics at Ruprecht-Karls-Universität Heidelberg

Master of Science (M.Sc.), Quantitative Finance, Master of Science (M.Sc.), Quantitative Finance at Cass Business School

Russian, French, German, English

Stackoverflow

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Github Skills (9)

machine-learning10

python10

natural-language-processing9

nlp9

scikit8

scikit-learn8

numpy8

jupyter-notebook7

matplotlib6

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

mstampfer/Coursera-Stanford-ML-Python

Oct 2015 - Sep 2016

Coursera/Stanford Machine Learning course assignments in python

Role in this project:

ML Engineer

Contributions:1 release, 36 commits, 3 PRs in 10 months

Contributions summary:Marcel contributed to the Coursera Stanford Machine Learning course assignments, with the initial commit setting up the project. Further commits show the user working with Python and implementing a Porter Stemmer algorithm. Subsequent commits include adding a wiki for the Ipython notebooks, and correcting the pyplot warning message in one of the notebooks.

stanfordpythondata-sciencemachine-learning-coursemachine-learning

mstampfer/Xbrlcapi

Dec 2012 - Feb 2013

Contributions:22 commits in 1 month

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