Data/QE analyses.
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Updated
Jul 8, 2022 - Jupyter Notebook
Data/QE analyses.
This project follows the author's internship experience. Due to cost considerations, the project attempts to build an efficient tool for the Consumer Business department in order to easily and accurately assess the default risk of clients if offered a contract. Report included in repository.
This is a final project on virtual internship experience by Home Credit x Rakamin
Main tools to lead a credit risk study of a financial institution
Risk-based student loan pricing model with actuarial framework, progressive subsidies, and interactive calculator. -3B annual savings, equity protections for low-income students.
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