š QUANTITATIVE TRADING RESEARCHER ā PART TIME / THESIS COLLABORATION
Are you a Mathematics or Physics student who sees the markets as a system of patterns waiting to be decoded?
We are building a quantitative algorithmic trading strategy and looking for a sharp, analytically minded student to join our research team.
š WHAT YOU WILL DO:
⢠Research and develop statistical models for financial markets
⢠Analyze price patterns, momentum signals, and market microstructure
⢠Backtest trading strategies using Python
⢠Work with real market data (equities, options, futures)
⢠Contribute to building a proprietary trading algorithm
š WHAT WE ARE LOOKING FOR:
⢠Student of Mathematics, Physics, Statistics, or Computer Science (Charles University / CTU preferred)
⢠Strong foundation in probability, statistics, and linear algebra
⢠Python programming skills (or strong willingness to learn)
⢠Curious, independent thinker ā you question assumptions
⢠Interest in financial markets is a plus, not a requirement
š WHAT WE OFFER:
⢠Flexible part-time work ā fit around your studies
⢠Remote-friendly
⢠Real exposure to live trading systems and market data
⢠Thesis collaboration opportunity available
⢠Competitive compensation based on experience
⢠Direct mentorship in quantitative finance
š INSPIRED BY:
The approach of Renaissance Technologies ā we believe markets contain patterns that mathematics can find.