This role is focused on advancing systematic investing through quantitative research and robust data solutions. Key responsibilities include:

Data Ingestion & Cleansing: Developing pipelines to integrate and clean data.

Data Analysis: Applying statistical techniques to uncover actionable insights.

Data Infrastructure: Maintaining automated systems for data collection and retrieval.

Candidates should have strong skills in SQL and Python, experience in data science (ideally with a quantitative advanced degree), and an ability to communicate complex findings effectively. While similar to a Data Analyst, this position demands deeper technical expertise, a focus on financial data, and a blend of data engineering and quantitative research skills.