(Senior) Risk Data & Analytics Engineer
Tasks
- Automate regulatory processes
- Build data pipelines for risk reporting
- Develop automated risk reporting
- Enhance internal risk tooling
- Ensure data quality and consistency
- Implement risk models in production Python
- Improve testing versioning documentation and code quality
- Maintain audit readiness traceability and reproducibility
- Support regulatory change implementation
Perks/Benefits
- Additional day annual leave per year of service
- Fitness and wellness memberships
- Hybrid work model
- Language apps
- Personal development budget
- Public transportation subsidy
- Relocation package with visa support
- Work from home budget
Skills/Tech-stack
Automation | CI/CD | Code review | Data Pipelines | Data Processing | Data Quality | Financial Risk Management | Financial risk | Modular programming | Object-Oriented | Object-oriented programming | Python | Risk Management | SQL | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Analytics | Analytics Engineer | Data Engineer | Engineer | Risk Data Engineer
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