Analyst - Data Quality Management - Banking

Description:

The DQM team manages the implementation of best-in-class data quality measurement programs for the US region within the retail consumer banking domain.

The team supports several critical areas, including:

- Regulatory Support: Execution of business data quality measurements as required by regulatory programs such as CCAR and AML.

- DQ Rules Design: Identification of critical data elements across systems, designing data quality rules, and performing testing and validation.

- Data Governance: Standardization of data definitions and ensuring consistency in measurement across systems, products, and regions.

- DQ Scorecards: Publishing monthly/quarterly product-level scorecards and preparing executive summary reports for senior management.

- Issue Management: Identifying data defects, conducting root-cause analysis, and following up with stakeholders to ensure closure as per SLA.

- Audit Support: Identifying control gaps, tracking policy breaches, and providing data evidence for audit requirements.

Expertise Required:

Analytical Skills:

- Strong ability to perform data analysis and data visualization.

- Proficiency in formulating analytical methodologies, identifying trends, patterns, and correlations within datasets.

- Ability to generate actionable business insights.

Tools & Platforms:

- Proficient in SAS and SQL.

- Strong skills in MS Excel and PowerPoint.

Domain Skills:

- Good understanding of data definitions, data discovery, data quality frameworks, data governance, and data warehouse concepts.

- Preferred: Knowledge of financial regulations and familiarity with the retail banking business.

Education & Experience:

- MBA or Post-graduate qualification in Operations Research, Econometrics, Management Science, Mathematics, Management Science, or related disciplines.

- 69 years of hands-on experience in delivering data quality solutions.

- Least 1 year of experience in the banking industry for post-graduate qualification