Summary

Top expert inCybersecurity and Penetration Testing Tools
Jan Neduchal is a research scientist and quantitative data specialist based in Frankfurt with nine years of experience bridging academic research and applied finance. He combines a strong academic foundation—pursuing a PhD in Quantitative Data Science at the University of Tübingen—with hands-on roles at institutions including Morgan Stanley, Deutsche Bank, and Mercedes-Benz Tech Innovation. His work spans risk engineering, data science, and proof-of-concept development, reflecting a practical bent captured by his GitHub motto of "Proofing the Concept." Jan has repeatedly moved between university research and industry internships, which gives him a rare fluency in translating theoretical methods into production-ready models. Comfortable with both rigorous statistical methods and real-world constraints, he excels at turning complex quantitative ideas into testable, deployable solutions.
9 years of coding experience
4 years of employment as a software developer
Doktor (Ph.D.), Quantitative Data Science, Doktor (Ph.D.), Quantitative Data Science at University of Tübingen
Bachelor of Science - BS, Economics and Business Administration, Bachelor of Science - BS, Economics and Business Administration at Goethe University Frankfurt
German, English