About us:
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 for US region, retail consumer bank and Wealth. The critical areas we support:
- Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc
- DQ rules 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 product 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
- GenAI Platforms & Tooling Expertise, AI/Machine Learning experience, ML Techniques
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
- Identification of control gaps and providing recommendations as per data strategy
- Data Acumen: 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
(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 management skills
- Ability to work in teams
Educational and Experience:
- MBA / 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
- 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year 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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