Data Scientist specializing in Credit Risk modeling at HupData. Developing statistical models and insights to enhance credit policies and risk strategies.
Responsibilities
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)
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