Quantitative Data Engineer
Tasks
- Automate risk reporting
- Build data models for risk systems
- Build simulation and risk calculation data flows
- Conduct code reviews
- Design automated data pipelines
- Develop automated pipelines for credit market liquidity and operational risks
- Document code and data workflows
- Embed risk models into production systems
- Ensure compliance with data governance security and regulatory requirements
- Ensure data quality and integrity
- Implement CI/CD for data workflows
- Integrate internal and external data sources
- Maintain documentation for processes and standards
- Mentor team members on engineering practices
- Optimize model performance for scalability
- Provide technical leadership and guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure DevOps | Cloud Data | Cloud Data Services | Continuous Deployment | Continuous integration | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Services | DevOps | Git | Jenkins | NumPy | Pandas | Python | Risk Modeling | SQL | SciPy
Education
Roles
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