Quantitative Research Analyst
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
2 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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)
