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Tier-1 bank, metro Bengaluru, mid-level (2–5 yrs), and common data skills increase candidate competition.
Banking regulatory and domain knowledge matters, though SQL/SAS skills are moderately transferable across industries.
Explicit 2–5 years, mandatory banking exposure and SAS/SQL requirements make shortlisting strict.
Manage and implement data quality measurement programs supporting regulatory requirements like CCAR and AML for the US retail consumer bank region.
Design, test, and validate data quality rules; publish monthly/quarterly data quality scorecards and executive summary reports for senior management.
Identify data quality issues, root cause analysis, and follow-up with stakeholders for resolution as per SLA; support audit processes by providing data evidence on control gaps and policy breaches.
2 to 5 years of hands-on experience delivering data quality solutions with at least 1 year in the banking industry.
Proficiency in SAS and SQL; strong skills in MS Excel and PowerPoint.
Educational qualification: MBA/Mathematics/IT/Computer Applications/Engineering from a premier institute; postgraduate degree preferred in relevant fields such as Computer Science or Mathematics.
Good understanding of data definitions, data quality framework, data governance, and preferably data warehouse knowledge and finance regulations.
Experienced in data quality and governance within banking or financial services domains with regulatory program exposure.
Skilled in analytical methodologies, data visualization, trend identification, and deriving actionable business insights.
Capable of communicating complex analysis clearly to management and managing cross-functional stakeholder interactions effectively.