Citigroup Data and Information analytics AVP- C12 in Bengaluru, India
The Client Remediation – Solution expert is expected to be a Data SME who accomplishes results through the management of professional team that Integrates subject matter and industry expertise within a defined area. The candidate is expected to contributes to standards around which others will operate and would require to develop in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. The candidate should possess communication and diplomacy skills are required to guide, influence, and convince others, in particular colleagues in other areas and Regulators. He/She has responsibility for volume, quality, timeliness, and delivery of end results of an area. May also have responsibility for planning, budgeting, and policy formulation within area of expertise. Involved in short-term planning resource planning. Indirect responsibility of a cross-functional team to identify and validate client population analytics for issues requiring client remediation and remuneration.
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
Understand the data Sources in detail
Ability to Identify the best source (Golden source of Information)
Identify best route to perform the analysis.
Guide Analysts to efficiently perform remediation analysis
Develop new Logics as per business requirement
Quality review of the outputs and highlight any issues and guide in resolve them
Work closely with BA to understand the business requirement
Ability to Translate Business problems into Technical Requirement and solve it through data
Understand the Business reason ("Why" part) of the data Analysis
Responsible for defining the remediation approach along with BA
Critically challenge the approach from data point of view
work with stakeholders, pro-active communication
Work on Data Documentation - Data dictionaries, reusable components
Work with data Analysts and support in remediation deliverables
Deliver Complex and High Priority issues.
Provide consultative support on Adhoc data requests from BAs
New Joiner Training and Grooming data Analysts
Contributing to developing Knowledge repositories through documenting best practices.
Work with Applications, Data Owners, Upstream data Sources to ensure required data for analysis is made available.
Work with cross functional teams to get clarity / visibility on data sources and ascertain quality of data.
Experience working in data warehouse and data structures in BFSI Business Analytical Projects.
Data Research to deliver on technical Requirements
Data Exploration, Data Profiling
Ability to understand the business ask and solve it through data
Curious to understand Data and connect dots with business.
Excellent SQL and Data Exploration Skills
Analytical thinking and Problem Solving
Data Documentation - Data dictionaries, reusable components
Project Management and interpersonal skills
Strong Project Management skills with continuous effort to identify and overcome bottleneck.
Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
Ability to build connections, promote ideas and work collaboratively across all levels of seniority and across boundaries
Well organized with excellent time management skills
Self-motivated, focused, detailed oriented and able to work efficiently to deadlines are essential
Lateral thinker, with ability to manage change and analytical ability to recognize areas of improvement
Ability to work with a high degree of autonomy
Confident, articulate and have a high degree of personal integrity
Presentations to both technical and non-technical personnel including Senior Management
Throughput of Projects
Initiatives for Process Standardization and efficiency and automations
Timeliness of Delivery
Front ending MRAs / IA projects
Documentation - Templates, Best Practices, Procedures etc.
Reduce Number of reworks and QA issues identified
Tools and Platforms:
Proficient in SAS, SQL, RDBMS
Proficient in MS Excel, PowerPoint, and VBA
Exposure to Big data, Python
- Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.)
Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute
Overall experience of 8-12 years with 3+ years of experience in delivering data Analysis/ data driven solutions,
At least 5-year experience in Banking Industry
Job Category: Decision Management
Working days - Hybrid - Minimum 3 days in office in a week.
Shift: Regular Local Working Hours (aligned with NAM working hours)
Job Family Group:
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