Quantitative Researcher — Event Signals
You will design, test, and productionize signals derived from news, research notes, filings, and social attention data. You will work across the full stack of a research idea: hypothesis, feature engineering, validation, and deployment. We expect strong empirical discipline and a bias toward falsifiable results.
- Demonstrated research output in quantitative finance, NLP, or an adjacent empirical field
- Fluency in Python and comfort with large tabular data (ClickHouse, Arrow, Polars, etc.)
- A portfolio of honest negative results alongside positive ones