Risk Analytics for Banking

Course Overview

A practical, finance‑focused course that teaches learners how to use data, statistical models, and regulatory frameworks to measure, monitor, and manage risk across banking operations. The course covers credit risk, market risk, operational risk, liquidity risk, stress testing, portfolio analytics, early‑warning indicators, and data‑driven decision‑making aligned with Basel and other regulatory standards.

Target Audience

• Risk management, credit, and compliance teams

• Banking analysts, financial operations, and treasury professionals

• Data analysts, BI developers, and decision‑support teams in financial services

• Product, lending, and portfolio management teams

• Students or professionals entering banking, finance, or risk analytics

Course Outcomes

• Understand core banking risk types, frameworks, and regulatory requirements

• Analyse credit portfolios, borrower behaviour, and default patterns

• Apply statistical and machine‑learning models for credit scoring and risk prediction

• Evaluate market risk using VaR, stress testing, and scenario analysis

• Assess operational and liquidity risks using data‑driven indicators

• Build dashboards for risk monitoring, compliance reporting, and portfolio insights

• Identify anomalies, early‑warning signals, and emerging risk exposures

• Communicate risk insights clearly to credit, compliance, treasury, and leadership teams