- 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.