Data Quality - BCBS239
At a glance
Mid-level Data Architecture & Governance role at Capco. Bengaluru.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Apply the DQ framework across business and technology teams, supporting remediation work tied to BCBS239 and DQM Standard 2.0
- Profile, validate and reconcile banking data, then flag gaps in completeness, accuracy, consistency, timeliness or validity
- Track data issues through resolution, investigate repeat causes and monitor quality rules, measures and the DQ Index
- Build DQ dashboards and management reports, and work with stewards and owners on rules and metadata
- Support Risk and Finance controls by resolving data issues with business, technology and CDO teams
What you bring
- At least eight years in data quality, governance, issue remediation or data management
- Practical SQL experience for analysing and checking data, plus hands-on profiling, cleansing and reconciliation work
- Strong banking knowledge, especially in Risk, Finance or regulatory reporting, alongside data governance and metadata experience
- Experience managing data issues with tools such as Jira or ServiceNow, and strong root-cause analysis skills
Who this fits
This mid-level consulting role suits someone experienced in banking data quality and remediation who can work across business and technology stakeholders. The stated experience range is eight to fourteen years, and the role is based in Bangalore or Chennai.
From the employer
Job Title: Data Quality - BCBS239 - Remediation
Experience: 8–14 Years
Location: Bangalore / Chennai
Role Overview
Capco is seeking experienced Data Quality (DQ) consultants to support a key client engagement focused on Data Quality transformation and regulatory compliance. The role involves delivering Data Quality Remediation & Transformation Plan (RTP) actions aligned to BCBS239 compliance and implementing DQ Management Standard 2.0.
Key Responsibilities
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- Implement and support Data Quality Management (DQM) framework across business and technology domains
- Perform data profiling, data validation, and data reconciliation across multiple banking datasets
- Identify data quality issues (completeness, accuracy, consistency, timeliness, validity) and escalate to stakeholders
- Support IMR (Issue Management & Remediation) by tracking, monitoring, and closing data issues
- Conduct root cause analysis (RCA) for recurring data quality problems
- Define and monitor Data Quality rules, metrics, and KPIs (DQI – Data Quality Index)
- Develop and maintain DQ dashboards and reports for management reporting
- Work with Data Stewards and Data Owners to define business rules and metadata definitions
- Support regulatory reporting (BCBS 239 / Risk / Finance data controls)
- Collaborate with cross-functional teams (Risk, Finance, Technology, CDO) for issue resolution
- Ensure adherence to data governance standards and enterprise data policies
Required Skills & Experience
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- 8-10 years of experience in Data Quality / Data Governance / IMR / Data Management
- Strong knowledge of banking domain (Risk, Finance, Regulatory Reporting preferred)
- Hands-on experience in SQL for data analysis and validation
- Experience in data profiling, data cleansing, and data reconciliation
- Understanding of data quality dimensions (accuracy, completeness, consistency, timeliness)
- Experience in issue management (IMR / Jira / ServiceNow or similar tools)
- Strong RCA (Root Cause Analysis) and analytical skills
- Experience in data governance frameworks and metadata management
- Ability to work with stakeholders across business and technology te
Preferred Skills
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- Knowledge of BCBS 239 principles
- Experience in Risk / Finance / Regulatory Reporting data
- Exposure to tools like Collibra, Informatica DQ, Ab Initio, or similar DQ tools
- Experience with BI tools (Tableau, Power BI, Looker)
- Python knowledge for data analysis (optional)
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