招聘
必备技能
SQL
Excel
Machine Learning
Senior Data Quality/Governance Specialist / Lead Senior Data Quality/Governance Specialist
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 15 years of hands on experience in delivering data quality solutions, with at least 2-8 year’s experience in Banking Industry
------------------------------------------------------
Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Data/Information Management------------------------------------------------------
Time Type:
------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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关于Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
员工数
New York City
总部位置
$86B
企业估值
评价
3.7
10条评价
工作生活平衡
4.0
薪酬
2.8
企业文化
4.2
职业发展
3.5
管理层
3.3
68%
推荐给朋友
优点
Good work-life balance
Supportive management and colleagues
Good benefits
缺点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
薪资范围
38个数据点
Senior/L5
Senior/L5 · CASH & TRADE PROCESSING SENIOR GROUP MANAGER
2份报告
$247,000
年薪总额
基本工资
$195,245
股票
-
奖金
-
$247,000
$247,000
面试经验
3次面试
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 33%
负面 67%
面试流程
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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