Careers

The work is quantitative, research-driven, and grounded in academic methodology. We value depth over breadth, rigor over speed, and reproducible results over untested hypotheses.

We are selectively exploring opportunities for quantitative researchers and engineers with strong backgrounds in statistics, financial mathematics, or machine learning applied to markets. Experience with Python, time series analysis, and backtesting methodology is expected.