Job Description:

Core Responsibilities

- Risk Reporting & Monitoring: Maintain consistent reporting cadences for AML/KYC governance. This includes creating management information (MI) reports on risk exposure, trending, and remediation progress for senior leadership.
- Data Analysis & Mining: Extract and manage data from multiple banking systems to build repeatable reporting pipelines. Use statistical techniques to mine large datasets for suspicious patterns, delinquencies, or "red flags".
- Stakeholder Coordination: Liaise with relationship managers, compliance officers, and IT teams to resolve data quality issues and validate risk models.

Key Qualifications & Tech Stack

- Educational Background: Typically requires a degree in Computer Science, Finance, Business, Mathematics, or Statistics.
- Data Tools:
- Visualization: Microsoft Power BI for automated dashboards or Web dashboards.
- Database/Scripting: SQL (essential for data extraction), and sometimes Python or SAS/R for advanced risk modelling.
- Spreadsheets: Advanced Microsoft Excel for tracking metrics and daily analysis.
- Tools: SharePoint, Phyton, VBA Script

📌 Banking Analytics Professionals (Chennai)
🏢 NTT DATA
📍 Chennai