Financial Data Analyst, Python

About the role

QRT Data Team at Qube Research & Technologies builds and maintains the financial data infrastructure that powers the firm’s research and trading platforms. The Financial Data Analyst develops Python-based pipelines, ingests and validates external market datasets, resolves data quality issues, and collaborates with researchers, analysts, and engineers to ensure reliable data delivery. Mumbai, onsite, full-time role.

What you’ll do

• Collaborate with researchers, analysts, and engineering teams to deliver reliable datasets
• Develop, test, and deploy Python-based data pipelines
• Onboard new datasets by mapping fields, defining schemas, and performing backfills
• Monitor pipeline performance, resolve delivery issues, and improve reliability
• Investigate and fix data quality problems such as missing data, duplicates, and outliers
• Document datasets, transformation logic, and operational processes

What you’ll bring

• 3+ years experience in financial data or market data roles
• Advanced Python programming with Pandas and NumPy
• Develop and maintain data pipelines for ingestion and transformation
• Experience with CSV, JSON, XML, Parquet, APIs or vendor feeds
• Familiarity with Git and modern development practices
• Strong analytical and problem‑solving skills
• Effective communication and collaboration across global teams

Skills