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
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