Writing Python code to express statistical ideas and relationships between securities.
Coming up with novel ideas and hypotheses about market participants and dynamics
Collaborating with teammates on new trading ideas
Extending existing research tools to support novel use cases and needs
Bachelor's in STEM with strong familiarity with statistics and quantitative problem-solving.
Self-sufficient ability to implement statistical ideas in code (Python experience preferred).
Interest in financial markets or learning more about financial markets.
Previous experience in quantitative finance or trading is a plus, but is not required.
The ideal candidate will be a strong quantitative problem solver interested in identifying and monetizing statistical patterns in the financial markets and also adept at implementing their ideas in Python.
Please send a PDF CV to Sara Hunter@firstname.lastname@example.org