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Tier-1 brand, metro location, junior generalist role, and broad toolset make competition high.
Core data quality skills are transferable, but finance/regulatory knowledge increases domain specificity.
Explicit 1–2 years requirement plus mandatory SAS/Python/SQL and data governance skills enforce high strictness.
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Manage and execute data quality measurement programs for US retail consumer banking, including regulatory support for CCAR, AML, etc.
Design, test, validate data quality rules and publish scorecards with executive summaries for senior management.
Identify data defects, investigate root causes, coordinate resolution with stakeholders, and support audit processes by providing data evidence.
1 to 2 years of hands-on experience delivering data quality solutions.
Proficiency in SAS, SQL, PySpark, and Python; strong MS Excel skills.
Educational background: MBA or degree in Mathematics, IT, Computer Applications, Engineering, or related fields from a premier institute.
Knowledge of Data Quality Framework, Data Governance, Data Warehouse concepts, and finance regulations related to retail business.
Experienced in practical application of data quality and governance in financial services, especially retail banking.
Capable of analytical thinking with ability to identify trends and generate actionable business insights from data.
Effective communication skills to articulate complex issues simply for management and collaborate with multiple stakeholders.