Key skills
PythonSQLData WarehousingCommunicationCollaborationRemote Work
About this role
Role Overview
- Design, develop, and maintain crucial data infrastructure supporting credit risk models.
- Ensure data availability, accuracy, and reliability by collaborating with Quantitative modelers, experts, and stakeholders.
- Develop scalable data pipelines and integrate diverse sources.
- Ensure high data quality and governance with Data Stewards.
- Optimize and automate processes for efficient reporting and robust risk assessments, making a significant impact on analytical capabilities.
Requirements
- Proven experience as a Data Engineer, proficient in SQL, Python, and data modeling techniques, with a track record of working with large datasets.
- Knowledge of data warehousing concepts and best practices for data integration and storage.
- A strong understanding of data quality, security, and governance best practices.
- Familiarity with credit risk, Basel III, or other financial risk frameworks is a significant advantage.
- Demonstrated problem-solving abilities and strong communication skills for effective cross-team collaboration.
Tech Stack
- Python
- SQL
Benefits
- A diverse, inclusive and equal environment
- Extensive training and learning opportunities
- Hybrid work model, meaning remote work is possible up to 2 days/week