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
- Experience with Natural Language Processing (NLP) techniques for analyzing unstructured data to derive qualitative insights.
- Usage of AI technologies to enhance data quality, governance, and overall data strategy.
- Ability to define business requirements from senior management discussion
- Skilled in creating Jira dashboards based on requirements from senior management discussion and plan creation of reports to monitor progress of data initiatives, defects, and delivery timeline
- Generate actionable Business Insights
(Preferred) -
Tools and Platforms
- Proficient in SAS, SQL
- Proficient in MS Excel, PowerPoint and VBA
Preferred -
Domain Skills:
Good understanding of
- Data definitions and data discovery
- 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
(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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Job Family Group:
Decision Management
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Job Family:
Data/Information Management
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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