Quantitative Researcher - Data Curation
Core
Curating, cleansing, and validating large volumes of trading-related data (US equity, options, fundamental, alternative) to support quantitative research and trading strategies.
Role type
Quantitative Researcher (Data Curation)
Builds
Robust data pipelines for research and live trading environments
Domain
Financial Markets / Systematic Trading
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning techniques, options market knowledge, data vendor landscape expertise, large dataset handling, real-time data processing
Preferred skills
Non-market data integration, systematic trading environment experience
Technologies
Python, SQL
Responsibilities
Curate, cleanse, and validate market data; Integrate and preprocess fundamental and alternative data; Build and maintain data pipelines; Perform statistical modeling to identify market patterns; Ensure dataset accuracy and timeliness; Document research processes and data provenance; Collaborate with engineers and traders to translate research into production models.
Seniority
Mid-level, hands-on IC