Market Data Quality Analyst

📋 Description

• Acquire, clean, and maintain reference data, corporate actions data and alternative data from
• Design and own automated Python pipelines for ingestion, transformation and publication of these
• Analyse datasets using SQL, Pandas and Polars to help model, investigate issues, and document data.
• Monitor and resolve data anomalies, missing values, and inconsistencies to ensure high data quality
• Work with engineers to enhance data storage, retrieval, and efficiency for research workflows.
• Work with researchers, traders and other data users to turn data needs into well-defined

🎯 Requirements

• 5+ years in a data-focused role, preferably in a trading, quantitative finance, or financial
• Strong Python including data processing frameworks such as Pandas or Polars.
• Advanced SQL for analysing large datasets efficiently.
• Genuine interest in how exchanges work – including instrument lifecycles, session structures
• Eagerness to get into the details of a dataset, either to find quality issues or to help document
• Strong communication skills and the ability to work cross-functionally with researchers, traders

🎁 Benefits

• About Us: IMC is a global trading firm with offices in US, Europe, Asia Pacific, and India