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Tier-1 brand plus Bangalore metro increase competition, but niche data-quality specialization reduces generalist applicants.
Strong banking regulatory and operational risk emphasis makes background fit highly sensitive across industries.
Regulated banking context and required data-quality, operational risk, and MI expertise create strict shortlisting filters.
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Design and implement a Bank-wide Data Quality (DQ) by Design Model, focusing on standardization and automation of DQ and compliance monitoring.
Collaborate with CDO, business functions, 2LoD teams, and technology partners to automate DQ management information systems from data sourcing to reporting.
Lead the rollout of DQ training and tools, and align DQ Risk Management with operational risk processes to minimize cost and resources.
Work Experience Required: Not explicitly mentioned in the JD.
Must have skills in Data Quality Controls, Operational Risk (Tech or Data), Regulatory Reporting projects or BAU, and data analysis/visualization/analytics.
Location Requirement: Bangalore, India (Office working).
Employment Type: Permanent, Band 5, with posting dates between 19/08/2026 and 21/08/2026.
Experienced in end-to-end data quality frameworks and capable of driving standardization and automation at scale within a banking environment.
Proficient in managing cross-functional stakeholder engagements including risk, technology, and business teams for data governance and compliance.
Comfortable leading initiatives involving DQ training, tool development (e.g., DQ Chatbot), and alignment of risk management processes to reduce operational complexity and costs.