Senior Data Quality/Governance Specialist

Location: Bangalore, Karnataka, India

Employment Type: Regular

JD 1: SIS – DQM- NAM DQ team (C11)

About us:

Analytics Information management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world.

 What do we offer:

DQM team manages the implementation of best in class data quality measurement programs across globe in retail consumer bank. The critical areas we support:

• Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
• Metrics Design: Identification of critical data elements in different systems, data quality rules design, Testing and validation of rules 
• Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions.
• DQ Score cards: Publishing monthly/quarterly score cards at country level and preparing executive summary reports for senior management
• Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA
• Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion

Expertise Required:

Analytical Skills

• Data analysis and visualization
• Proficient in formulating analytical methodology, identifying trends and patterns with data
• Generate actionable Business Insights
• Methodical problem-solving, goal-oriented focus, process improvement drive, and executive-level communication proficiency.

(Preferred) -

Tools and Platforms      

• Proficient in SAS, SQL
• Proficient in MS Excel, PowerPoint and VBA
• GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques

Preferred -

Domain Skills

Good understanding of

• Data definitions and data discovery
• Data Catalog, Lineage and Data quality framework
• Data Governance including identification of critical data elements, measuring and monitoring of CDE’s
• Process improvement experience pertains to compliance and data quality initiatives
• Hands on experience on KPI’s design, issue resolution and remediation activities
• Identification of control gaps and providing recommendations as per data strategy
• Measuring effectiveness of different DQ roll out programs
• Data Acumen: Deep understanding of data flow, storage, criticality, business rules, controls, and relevant technologies.
• Data Analysis & Interpretation: Ability to explore data, translate it into business context, establish quality standards, identify trends, investigate quality issues, and understand its ultimate utility.
• Country-Specific Data Regulations and Permissions
• Product-Specific Data: Knowledge of the data elements associated with various wealth management products (e.g., investment portfolios, trusts, lending products) and how this data informs product suitability and client recommendations.
• Good understanding of financial data and client data
• Good understanding of Banker/Advisor Sales Coverage Hierarchy, licencing & registration

(Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business

Soft Skills

• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have excellent communication and inter-personal skills
• Good process/project management skills
• Ability to work well across multiple functional areas
• Ability to thrive in a dynamic and fast-paced environment

Educational and Experience:

• MBA / Master degree in Economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications
• (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
• 5 to 8 years of hands on experience in delivering data quality solutions, with at least 2 year’s experience in Banking Industry

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