Senior Data Scientist

About the Role:

• This is an opportunity to work at the intersection of data science, financial analytics, and credit risk management.
• You will develop statistical and predictive models that support critical business and risk decisions.
• The role combines exploratory analysis, machine learning, forecasting, and model performance monitoring.

Key Responsibilities:

• Develop and continuously improve statistical and predictive models for key credit-risk indicators.
• Analyze corporate databases to identify factors influencing credit risk and support comprehensive risk assessments.
• Enhance statistical modeling methodologies for Expected Credit Loss with forward-looking analyses.

Requirements:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related quantitative field.
• Professional experience developing statistical models and applying data science techniques to complex business problems.
• Strong Python and SQL skills, with knowledge of AWS or GCP desirable.

Benefits:

• Health and dental insurance, Wellhub (Gympass) access, and transportation allowance.
• Meal and food allowances, private pension plan, and life insurance.
• Extended maternity and paternity leave, and opportunities for continuous technical development.