Job Description
This role is focused on advancing systematic investing through quantitative research and robust data solutions. Key responsibilities include:
1. Data Ingestion & Cleansing: Developing pipelines to integrate and clean data.
2. Data Analysis: Applying statistical techniques to uncover actionable insights.
3. 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.
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