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

Required Experience

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

Quantitative Research Analyst

Key skills