Data Management Role - Bank

- Internal Audit: Banking products & Services are in compliant with Controls & policies, any violations need to be identified and reported to CBORC team

- Sales Practice: Any performance management and incentive programs for potential Unfair & Deceptive practices by RMs, need to be identified and reported to CBORC team

- AML: Any instances of AML incidents or Transaction need to be identified and reported to CBORC team

- Branch Oversight Function: Branch functioning as per the policies and guidelines, any inconsistencies to be reported to BOF team

- Project Management: Manage entire project lifecycle, stakeholder communication mentor junior analysts, lead by example etc.

- Relationship Management: Interact regularly with Partner leadership to set and manage expectations aligned to group capabilities and work to deepen existing relationships.

Expertise Required:

Analytical Skills

- Data analysis & Data Quality

- Proficient in formulating analytical methodology, identifying inconsistencies, anomalies & patterns with data

- Generate actionable Business Insights

- Coming up with automated Techniques to remove false positives

(Preferred) -

Tools and Platforms

- Proficient in SAS, SQL, Teradata

- Proficient in MS Excel, PowerPoint and VBA

Preferred LSF scheduling or windows scheduling

Preferred Experience one of the below technology area

Big Data/Hadoop, HIVE and exposure to Python.

SAS on Mainframe, exposure to JCL, IBM Utilities

Domain Skills

Good understanding of

- Banking domain (Cards, Deposit, Loans, Wealth management, & Insurance etc.)

- Audit Framework

- Data quality framework

- Risk & control Metrics