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

Chicago, IL, US • Posted 9 hours ago • Updated 1 hour ago

Contract W2

On-site

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Python
SQL
Quantitative Research
end-to-end data pipelines
imputation frameworks
data normalization
reconciliation logic
data quality diagnostics

Summary

Role: Quantitative Research Analyst (Data Modeling & Imputation)
Location: Chicago, IL (or) Boston, MA (Onsite from Day 1)

Job Type: W2 Contract

Description:

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091604
Position Id: 2026-3943
Posted 9 hours ago

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