Key skills
PandasPythonScikit-LearnSQLTableauscikit-learnBIPower BI
About this role
Role Overview
- Develop statistical and predictive models applied to credit risk
- Enhance existing models
- Perform analyses of portfolio behavior
- Develop impact simulations for changes in credit policies
- Structure analytical databases for modeling
- Generate insights into credit portfolio behavior
- Identify opportunities to improve credit policies and lending strategies
- Build analytical dashboards to monitor credit performance
- Collaborate with risk, business and technology teams
Requirements
- Experience in statistical modeling applied to credit or risk
- Programming in Python
- Strong SQL skills for handling large datasets
- Experience with analysis and modeling libraries (e.g., pandas, scikit-learn, statsmodels)
- Knowledge of predictive modeling techniques (logistic regression, trees, boosting, etc.)
- Experience with portfolio behavior analysis (vintage, roll rate, cohort)
- Experience with visualization tools (Power BI, Tableau, or similar)
Tech Stack
- Pandas
- Python
- Scikit-Learn
- SQL
- Tableau
Benefits
- Salary advance
- Health insurance
- Childcare assistance
- Workplace exercise sessions
- Life insurance
- Meal allowance
- Transportation voucher
- Profit-sharing (PLR)