Data Analyst
Core
Ensuring the quality, consistency, and discoverability of financial datasets for quantitative research and automated trading systems.
Role type
Senior Data Analyst (Quantitative Platform)
Builds
High-quality, well-managed data products and an automated dataset catalogue for institutional investors.
Domain
Quantitative investment management / Financial data infrastructure
Deliverable
production ML models | product features
Required skills
Cross-asset class time series analysis, complex multi-entity dataset debugging, Python for data analysis, data quality framework design, vendor data semantics, data lineage documentation, stakeholder issue escalation
Preferred skills
Reference and hierarchical data (security masters), market/fundamental/alternative datasets, statistical monitoring (drift/anomaly detection), ETL/ELT pipeline construction, LLMs for data investigation
Technologies
Python
Responsibilities
Define acceptance criteria for new data products including coverage and gap detection; Act as subject-matter expert on data products and vendor formats; Build and maintain an automated dataset catalogue; Systematically probe datasets for quality and versioning semantics; Contribute to data quality frameworks and documentation; Partner with Data Engineers and Quant Researchers on handoff contracts and sanity checks.
