Overview
Quantitative Research Analyst Jobs in Chicago, IL at STAFFXPERT LLC
Title: Quantitative Research Analyst
Company: STAFFXPERT LLC
Location: Chicago, IL
Quantitative Research Analyst (Data Modeling & Imputation)
Location: Chicago, IL or Boston, MA (Hybrid)
Duration: 6 Months
Key Responsibilities
- Build scalable data pipelines for structured and unstructured data.
- Develop missing data imputation frameworks using statistical and model-based techniques.
- Perform data normalization, reconciliation, validation, and quality analysis.
- Create model-ready datasets through data wrangling and feature engineering.
- Write efficient, reusable Python (Pandas, NumPy) and SQL code.
- Document methodologies and ensure reproducibility.
Required Skills
- 2 5 years in Quantitative Research, Data Science, Financial Data Engineering, or similar.
- Strong expertise in data wrangling, data transformation, ETL, and data engineering.
- Hands-on experience with missing data imputation, time-series interpolation, cross-sectional inference, and model-based imputation.
- Advanced Python (Pandas, NumPy) and SQL.
- Strong knowledge of statistics, econometrics, data quality, bias detection, and validation.
- Experience working with large, messy real-world datasets.
- Understanding of equity markets and financial statements is preferred.
Top Resume Keywords
- Data Wrangling
- Data Transformation
- ETL / Data Pipelines
- Python
- Pandas
- NumPy
- SQL
- Missing Data Imputation
- Time-Series Analysis
- Cross-Sectional Analysis
- Model-Based Imputation
- Data Normalization
- Data Reconciliation
- Feature Engineering
- Data Quality
- Data Validation
- Bias Detection
- Statistics
- Econometrics
- Financial Data
- Equity Markets
- Financial Statements
- Structured & Unstructured Data
- Distributed Computing (Spark, Databricks) (Nice to Have)
- NLP (Nice to Have)
