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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.
USCC EDO team manages the implementation of best-in-class data quality measurement programs across globe in retail consumer bank. The critical areas we support:
Data/Information Mgt Int Analyst is responsible for ensuring the organization’s data is accurate, complete, consistent, and reliable to support strategic planning and operational efficiency. This role involves profiling data to identify flaws, authoring data quality rules to prevent issues, monitoring data pipelines, managing metadata and remediate data concerns. This person will also be responsible to design, develop, and deploy scalable AI-powered solutions that enhance enterprise workflows and decision-making. The ideal candidate will combine strong software engineering skills with hands-on experience in machine learning and generative AI systems, including LLM-based applications and AI agents.
Metadata Management and Data Governance
Maintain Data Catalog/Dictionary: Document and maintain business, technical, and operational metadata, including data lineage, definitions, and data standards.
Data Profiling and Analysis
Profiling Execution: Perform deep profiling of large datasets to understand data structure, patterns, and content, identifying hidden anomalies or missing information.
Data Quality Rule Creation and Authoring
Rule Definition: Collaborate with business stakeholders to define and validate business rules for data validation (e.g., completeness, accuracy, consistency, validity).
Rule Authoring/Implementation: Develop and implement data quality rules, checks, and preventative/detective controls using SQL, Python, or specialized DQ tools.
Data Monitoring and Reporting
Data Concern Remediations
Design and Develop AI powered solution across data Quality lifecycle utilizing Agentic AI frameworks
Proficient in Python, SAS, SQL, Teradata, Collibra
Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)
(Preferred)- Knowledge of Finance Regulations, Understanding of Audit Process
Educational and Experience:
(Preferred)Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields
Please see the requirements listed above.
For complementary skills, please see above and/or contact the recruiter.
Skillset:
- 3-4 yrs of DG experience in Banking / Financial org
- Have understanding about DQ , Reg Report
- SQL , Python experience
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Decision Management
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Data/Information Management
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Full time
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Please see the requirements listed above.
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For complementary skills, please see above and/or contact the recruiter.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
