Hybrid Data Scientist – Credit Modeling Specialist

Posted 7 hours ago

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About the role

  • 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)

Benefits

  • Salary advance
  • Health insurance
  • Childcare assistance
  • Workplace exercise sessions
  • Life insurance
  • Meal allowance
  • Transportation voucher
  • Profit-sharing (PLR)

Job title

Data Scientist – Credit Modeling Specialist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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