Quantitative Research Analyst (Data Modeling & Imputation)
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Role: Quantitative Research Analyst (Data Modeling & Imputation) Location: Chicago, IL or Boston, MARequired Experience2-5 years of experience in quantitative research, data science, or financial data engineeringStrong 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 requiredExperience working with messy, real-world datasets (not just clean academic data)Solid grounding in statistics and econometricsFamiliarity with equity markets and financial statements preferred