Quantitative Research Analyst (Data Modeling & Imputation) - Only W2

Job Summary

Build and maintain end-to-end data pipelines across structured and unstructured datasets
Develop imputation frameworks for missing or sparsely reported financial data
Design and implement data normalization and reconciliation logic across overlapping hierarchies
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

Requirements

• Strong experience in data imputation frameworks (e.g., handling missing or incomplete financial datasets)
• Proficiency in data wrangling and data analysis using tools such as Python, R, or SQL
• Solid background in the banking and financial services domain, with exposure to capital markets, risk management, or financial modeling

Qualifications

• CFA charterholder or MBA in Finance