Course Outline:

Module 1: Introduction to Financial Analytics in Banking

• Overview of financial analytics and its significance in banking
• Key concepts in banking analytics: risk, performance, and compliance
• Data sources and types relevant to banking analytics
• Practical Exercise: Identifying data sources for banking analytics

Module 2: Credit Risk Assessment and Management

• Understanding credit risk and its implications for banks
• Techniques for credit scoring and risk modeling
• Analyzing borrower data and determining creditworthiness
• Case Study: Developing a credit risk model using historical data

Module 3: Customer Segmentation and Profitability Analysis

• Importance of customer segmentation in banking
• Analyzing customer behavior and preferences
• Techniques for profitability analysis and performance metrics
• Practical Exercise: Segmenting customers based on financial data

Module 4: Portfolio Management and Optimization

• Overview of portfolio management principles in banking
• Techniques for optimizing investment portfolios using analytics
• Risk-return analysis and asset allocation strategies
• Real-life Project: Creating a portfolio management strategy using analytics

Module 5: Regulatory Compliance and Reporting

• Understanding the role of analytics in regulatory compliance
• Key regulations impacting banking analytics (e.g., Basel III, Dodd-Frank)
• Techniques for data analysis in compliance reporting
• Practical Exercise: Preparing a compliance report based on analytical findings