Quantitative Research Analyst

• Build and maintain end-to-end data pipelines across structured and unstructured datasets• Develop imputation frameworks for missing or sparsely reported financial data (e.g., segment-level estimates, coverage gaps, timing mismatches)• Design and implement data normalization and reconciliation logic across overlapping hierarchies (e.g., segments, geographies, entities)• Perform data quality diagnostics, including coverage analysis, bias detection, and stability testing• Partner with researchers to translate raw data into model-ready features• Write efficient, reproducible code in Python and SQL for large-scale data processing• Document methodologies clearly to ensure transparency and repeatability