Quantitative Data Analyst in Credit Risk Model Validation | SEB, Vilnius
Tasks
- Automate data quality checks and reporting outputs
- Develop standardized validation datasets
- Develop validation tools and reusable functions
- Ensure code quality and reproducibility
- Integrate results into reporting interface
- Maintain data lineage and documentation
- Perform data quality checks
- Profile data
- Reconcile datasets
- Retrieve prepare analyze interpret validation data
- Validate credit risk model data
Perks/Benefits
- Health insurance
- Internal mobility
- International working environment
- Paid time off
- Pension contributions
- Profit sharing
- Volunteering days
Skills/Tech-stack
Automation | Data Lineage | Data Quality | Data Warehousing | Data profiling | Large Datasets | Model Validation | Python | R | Reconciliation | Reporting | SAS | SQL | Statistical Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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