Anastasios Vlachbeis
Head of Quantitative Research & Strategy
BSc Data Science & AI, Maastricht University (MaRBLe honours track).
Maastricht University · Wikimedia Commons
Maastricht Quantitative Research
Systematic trading, built by students.
A student-run quantitative research society at Maastricht University. Members design systematic strategies, validate them against historical data, and run them on simulated capital.
01 Research
You run a strategy, not just a membership.
MQR operates as a paper prop shop. Members work in small pods on systematic strategies for liquid US equities and ETFs — research, backtest, validate, execute on simulated accounts.
Learn more about research
02 Platform
One platform, every pod.
Researchers use a Python toolkit locally for backtesting. A central platform executes all pods, handles risk controls, and surfaces performance on a shared dashboard.
Explore the platform
03 Events
Competitions, workshops, industry exposure.
Internal trading competitions and hackathons, practitioner talks from prop firms and quant funds, and a peer group doing technically demanding work together.
See upcoming events
04 Join
We recruit in small cohorts.
No prior trading experience required. What matters is that you can code, take analysis seriously, and will show up to build. Sponsors welcome too.
Join us on campusTeam
A small team, hands-on by design.
Daniel Skuczi
Technology Lead
Senior ML and software engineer; previously Verizon, Continental, CERN.
Mike Westenberg
Events & Operations
MSc Artificial Intelligence; industry background at ASML.
Taurius Zukauskas
Quantitative Research
BSc Data Science & AI; mean-reversion strategy research.