Description

You will manage data quality, compliance, and automated reporting within a financial services context.

Responsibilities

• Conduct data analysis to assess quality and compliance with regulatory metrics.
• Design and validate data quality rules, controls, and automated reporting workflows.
• Manage issue resolution for data quality assessments and develop DQ scorecards.
• Collaborate with ITSO and process owners to ensure effective data management.
• Lead process improvements and document workflows using Confluence.

Required Skills

• 5-8 years of experience using SQL and Python for data manipulation and automation.
• Proven ability to work with large datasets in financial services environments.
• Experience building data quality frameworks and scorecards.
• Knowledge of regulatory standards such as BCBS 239 and DUSE.
• Proficiency with Excel, Databricks, and Aurora.
• Strong data analysis skills focused on cybersecurity and operational risk.
• Any Graduate degree.

Preferred Skills

• Experience with Tableau or Power BI for data visualization.

Key Skills

Education

Any Graduate