Description

Key Skills: Data Analysis, Python, SQL, Tableau, Power BI, Excel

Roles & Responsibilities:

  • Conduct data analysis to assess data quality and compliance with regulatory metrics.
  • Design and validate data quality rules and controls.
  • Manage issue resolution related to data quality assessment.
  • Collaborate with ITSO and process owners to ensure effective data management.
  • Lead process improvements and document workflows.
  • Utilize tools such as Databricks, Aurora, Excel, and Confluence for data management.
  • Develop and maintain automated reporting workflows and DQ scorecards.
  • Ensure compliance with BCBS 239 and DUSE standards, particularly in cybersecurity and operational risk.

Experience Requirement:

  • 5-8 years of experience with SQL and Python for data manipulation and automation.
  • Demonstrated ability to work with large datasets and ensure data quality in financial services.
  • Experience building data quality frameworks and scorecards.
  • Familiarity with regulatory metrics and standards (e.g., BCBS 239).
  • Exposure to reporting tools such as Tableau or Power BI is an advantage.

Education: Any Graduation

Education

Any Graduate