Banking regulators across Africa and beyond are moving from periodic inspection toward continuous, data-driven oversight. Digital lending, mobile money partnerships and fast-growing balance sheets create risks that appear first in the numbers, long before an on-site visit. Banks themselves face the same pressure: returns must be accurate, reconciled and explainable, and compliance monitoring must be able to demonstrate how alerts are generated and cleared.

This programme equips supervisors, analysts and compliance professionals with the analytical toolkit for that shift. It starts with the architecture of supervisory data and the quality controls that make analysis trustworthy, then covers ratio analysis, risk indicators, peer comparison and stress testing. Later sessions address monitoring of money laundering and conduct risk, the use of visual dashboards, and governance of models and automated reports so that results remain defensible.

Learning is practical. Participants work with anonymised bank data, build indicators and dashboards, and test thresholds for sensitivity. They also practise writing findings in plain language for a supervisory committee or a bank board. The final session turns each participant's work into an implementation plan for their own institution.

By the end of the course, participants will be able to:

• Describe the data flows and regulatory returns that support risk-based supervision.
• Apply data quality tests to detect errors and inconsistencies in submitted returns.
• Calculate and interpret capital, liquidity, asset quality and earnings indicators across a peer group.
• Build early warning indicators and dashboards using Excel and Power BI.
• Run basic stress tests and sensitivity analysis on a bank balance sheet.
• Use analytics to support anti-money laundering and transaction monitoring reviews.
• Document models, assumptions and data lineage for audit and supervisory review.

The course is aimed at professionals who analyse or rely on prudential and compliance data, including:

• Bank supervisors and examiners at central banks and financial regulators
• Off-site surveillance and financial stability analysts
• Compliance officers and money laundering reporting officers
• Risk managers and credit risk analysts in commercial banks
• Regulatory reporting and finance managers
• Internal auditors reviewing bank controls
• Data and business intelligence staff in financial institutions
• Insurance, SACCO and microfinance regulators extending their analytical skills

Participants leave the course with:

• A prudential indicator dashboard built from sample supervisory data.
• A reusable data quality checklist for regulatory returns.
• A simple stress-testing workbook they can adapt to their own portfolio.
• A set of red-flag rules for transaction and conduct monitoring.
• A template for documenting data lineage and model assumptions.
• A short implementation plan for bringing analytics into their supervision or compliance unit.

The week is organised as a series of analytical labs supported by concise technical briefings. Participants experience:

• Anonymised bank data sets for every practical exercise
• Guided build of dashboards in Excel and Power BI
• A supervised Python notebook session for those new to coding
• Mock supervisory committee presentations of findings
• Peer review of indicator choices and thresholds

On completing the labs and attending the full programme, each participant receives a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.