Principal Data Scientist
Tasks
- Analyze commercial lending portfolios
- Analyze credit risk models
- Build backtesting and benchmarking tools
- Develop econometric models
- Embed credit risk models with business partners
- Explore large datasets with statistical tools
- Maintain technical documentation
- Monitor and validate credit theories
- Participate in peer review sessions
- Resolve data quality issues
- Support model implementation
- Troubleshoot models in internal and vendor solutions
Perks/Benefits
Skills/Tech-stack
AWS Redshift | Amazon SageMaker | Anaconda | Backtesting | Benchmarking | Categorical analysis | Command Line | Command-line Interface | Data Analysis | Data Imputation | Data Preprocessing | Data Visualization | Data cleaning | Data harmonization | Datalake | Econometrics | Exploratory Data Analysis | Git | Graph Databases | Jupyter | JupyterLab | LaTeX | Machine Learning | Model Validation | Oracle | Panel data | Panel data analysis | Predictive Modeling | Python | R | RMarkdown | RStudio | Regression Analysis | Relational databases | SAS | SQL | SQLite | Series analysis | Shell Scripting | Stata | Statistical Analysis | Time Series | Time Series Analysis | VS Code | Version control
Education
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