This role requires strong analytical skills with expertise in SAS, SQL, RDBMS, Teradata, Unix, and MS Excel. You'll manage the analysis of customer remediation issues, conduct impact assessments, and provide audit support. Banking domain knowledge is a must.
Must have:
SAS, SQL, RDBMS
Banking Domain
Data Analysis
Issue Management
Good to have:
Finance Regulations
Retail Banking
Python
Big Data
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About the job
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. Remediation & Remuneration COE Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team. Job responsibilities: R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into:
Remediation analysis: Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA.
Impact assessment: Identification of size of the customers and the dollar amount impacted due to these issues.
Issue Management & Root cause analysis: Identifying the issues and reasons for the issues by leveraging analytical methods.
Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion
Expertise Required: Tools and Platforms
Proficient in SAS, SQL, RDBMS, Teradata, Unix
Proficient in MS Excel, PowerPoint, and VBA
Jira, Bitbucket
Mainframes
Exposure to Big data, Python
Domain Skills
Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.)
(Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain
Analytical & Interpersonal Skills
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Data analysis, Data profiling, Data Management skills
MIS reporting and generate actionable Business Insights
Should have excellent communication and inter-personal skills
Good process management skills
Ability to work in teams
Other Info:
Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute
Overall experience of 2-5 years with At least 1 year experience in Banking Industry delivering data solutions
Job Category: Decision Management
Schedule: Full-time
Shift: Regular Local Working Hours (aligned with NAM working hours)
Employee Status: Regular
Salary Grade: C10
------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 reviewAccessibility at Citi. View the "EEO is the Law" poster. View theEEO is the Law Supplement. View theEEO Policy Statement. View thePay Transparency Posting
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