Quantitative finance, openly discussed.
A place at the University of Tübingen to read papers, discuss projects, and understand how data-driven decisions are made in financial markets.
Between lectures and practice, a space is missing.
Quantitative methods shape modern capital markets, yet they stay opaque to outsiders and are in practice reserved for large institutions. Those who want to understand them rarely find a place for it during their studies.
Tübingen is an outstanding location for machine learning, mathematics, and data science. What's missing is the link between this methodological strength and applied, critical market expertise. That's exactly the gap we want to close — as a format for learning and exchange, not as investment advice.
What we do.
Paper-reading sessions
We read and discuss academic papers and market studies together.
Project & idea exchange
Present your own projects and take them apart — backtesting, modelling, data analysis.
Introductory workshops
Hands-on formats on the fundamentals: programming, statistics, working with financial data.
Guest talks
Insights from research and practice.
plannedCompetitions
Our own trading and data-science challenges.
planned
You don't need any prior finance knowledge.
Open to every discipline and every semester. Whether you come from maths, computer science, ML, physics, or economics — or from something else entirely: if quantitative methods interest you, you're in the right place. The literature and materials are mostly in English, and the meetings are too on request.
Come to the next meeting.
Sign up for the mailing list — we'll write when the next meeting is coming up. No spam, no commitment.
You're on the list. You'll hear from us as soon as the next meeting is set.