Data Scientist

2 maanden geleden

Amsterdam, Nederland Brunel Nederland B.V. Voltijd

Analyze and model data, constructing datasets from source to desired cubes, ensuring data quality and traceability.
- Identify and address data quality issues, developing and executing remediation scenarios, code, and processes to produce fit-for-purpose data.
- Propose and gain consensus on technical solutions for data remediation, ensuring solutions are well-documented to meet regulatory standards.
- Engage with key stakeholders across Corporate Banking and Credit Data Domains to resolve data quality and availability issues.
- Lead content-driven data remediation projects, driving decisions on alternative data sources, external data, and logical derivations to fill critical data gaps.
- Support the structural resolution of data quality issues, contributing to the client's compliance with regulatory requirements such as the A-IRB license.
- Present solutions and share insights with the stakeholders and your team to drive continuous improvement.
- Data analysis, data modelling: ability to construct data-set from source to desired cube.
- SQL and Python (Pyspark).
- Software engineering (CI/CD, unit testing, DTAP, OOP).
- Stakeholder management.
- Team cooperation and content leadership.
- Knowledge of credit and/or Risk processes and databases.

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