Market Data Quality Analyst
Summary
Build and maintain clean market data pipelines, automate data quality checks, and collaborate with traders and engineers using Python, SQL, and Polars.
- Acquire clean and maintain reference data corporate actions data and alternative data
- Analyze datasets using SQL Pandas and Polars
- Collaborate with researchers traders and engineers to define and maintain datasets
- Design and own automated Python pipelines for ingestion transformation and publication
- Develop automated testing strategies for data quality issues
- Improve data storage retrieval and efficiency for research workflows
- Monitor and resolve data anomalies missing values and inconsistencies