Summary
Martin Stancsics is a data scientist with a decade of experience blending econometrics, industrial organization, and NLP to solve research and industry problems. A PhD candidate from the University of Zürich turned QuantCo data scientist, he builds reproducible tooling and has contributed core features to open-source Python packages for statistical modeling. His background includes central bank stress-testing and credit-risk modeling, academic teaching of computational practices, and hands-on engineering to improve GLM tooling used by practitioners. Colleagues know him for an interdisciplinary, tinkerer’s approach—comfortable moving from theory to production—and for lightening technical conversations with a fondness for dogs and dog GIFs.
10 years of coding experience
High School, Advanced mathematics, High School, Advanced mathematics at Zrínyi Miklós Gimnázium
Exchange semester, Economics, Exchange semester, Economics at University of Amsterdam
Heller Farkas College of Advanced Financial Studies
Doctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of Zurich
Master's Degree, Economics, Master's Degree, Economics at Central European University
Bachelor's Degree, Economics (in Economic and Financial Analysis), Bachelor's Degree, Economics (in Economic and Financial Analysis) at Corvinus University of Budapest
Hungarian, English, German