Banking Analytics Professionals

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