Role: Quantitative Research Analyst (Data Modeling & Imputation)
Location: Chicago, IL (or) Boston, MA (Onsite from Day 1)
Job Type: W2 Contract
Description:
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Build and maintain end-to-end data pipelines across structured and unstructured datasets
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Develop imputation frameworks for missing or sparsely reported financial data (e.g., segment-level estimates, coverage gaps, timing mismatches)
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Design and implement data normalization and reconciliation logic across overlapping hierarchies (e.g., segments, geographies, entities)
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Perform data quality diagnostics, including coverage analysis, bias detection, and stability testing
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Partner with researchers to translate raw data into model-ready features
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Write efficient, reproducible code in Python and SQL for large-scale data processing
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Document methodologies clearly to ensure transparency and repeatability