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Quantitative Research Analyst (Data Modeling & Imputation)

ICONMA, LLC

Chicago, IL

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JOB DETAILS
SALARY
$64.29–$67.86 Per Hour
SKILLS
Analysis Skills, Data Cleaning, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Econometrics, Equity Securities, Financial Reporting, Financial Statements, Health Plan, Information Technology Consulting, Python Programming/Scripting Language, Quantitative Analysis, Quantitative Research, Reconciliation, SQL (Structured Query Language), Statistics
LOCATION
Chicago, IL
POSTED
4 days ago
Our Client, an IT Services and Consultant company, is looking for a Quantitative Research Analyst (Data Modeling & Imputation) for their Chicago, IL/Boston, MA/Hybrid location.
 
Responsibilities:
  • 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
 
Requirements:
  • 2–5 years of experience in quantitative research, data science, or financial data engineering
  • Strong expertise in data wrangling and transformation at scale (this is the core skill)
  • Proven experience with missing data techniques and imputation methods (e.g., cross-sectional inference, time-series interpolation, model-based approaches)
  • Advanced Python skills (pandas, numpy); strong SQL required
  • Experience working with messy, real-world datasets (not just clean academic data)
  • Solid grounding in statistics and econometrics
  • Familiarity with equity markets and financial statements preferred
 
Why Should You Apply?

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ICONMA, LLC

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