Risk Data Scientist | Risk Management @ING Bank

Tasks

• Address validation findings
• Analyze credit portfolios
• Apply statistical/machine learning models
• Automate data and model workflows
• Calibrate credit risk models
• Define credit decision cut off strategies
• Develop credit risk models end to end
• Document model workflows
• Ensure data integrity
• Ensure governance compliance
• Implement models in internal systems
• Interpret model results
• Monitor model performance
• Prepare for independent model validation
• Segment portfolios for risk analysis
• Select and analyze client data for campaigns
• Suggest model improvements

Perks/Benefits

• Annual leave growth
• Corporate events
• Extra annual leave days
• Flexible work schedule
• Hybrid work
• Learning and development programs
• Monthly benefit budget
• Short week options

Skills/Tech-stack

Artificial Intelligence | Azure DevOps | Credit Risk | Credit risk modeling | Data Integrity | IFRS 9 | Machine Learning | Model Validation | Python | Risk Modeling | SAS | SQL | Statistical modeling