Senior Quantitative Data Analyst/Engineer

About the role

Own and improve quantitative financial datasets used in research and production investment workflows, including data modeling, onboarding, history expansion, validation, and monitoring. Build and maintain pipelines and investigation tools, resolve data anomalies, coordinate with vendors, and establish documentation and operational standards. Candidates need a quantitative degree or equivalent experience, typically 5+ years working with quantitative financial data in an investment setting, and hands-on experience with multiple financial dataset types and major vendors. Strong Python, pandas, NumPy, SQL, database and data-modeling skills, plus knowledge of systematic-investing data quality issues and effective communication, are required.