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Vision Reach Global
Banking, Accounting and Financial Management

Data and Analytics for Banking Supervision & Regulatory Compliance Training Course in Johannesburg, South Africa

Classroom training in Johannesburg · next cohort Nov 2, 2026 · from USD 3,400

Supervisors and compliance teams receive more returns, transaction files and risk reports than any manual review can cope with, and weak signals of distress are easily buried. Five days show how to turn that volume into early warning. You work with supervisory data sets covering capital adequacy, liquidity coverage, asset quality, concentration and large exposures, learn the structure of regulatory returns under Basel standards, and apply data quality checks, peer group analysis, trend and outlier detection to flag banks and branches that need closer attention.

Upcoming sessions in Johannesburg

Johannesburg, South Africa

Nov 2 – 6, 2026

$3,400

Register

Johannesburg, South Africa

Nov 30 – Dec 4, 2026

$3,400

Register

Johannesburg, South Africa

Dec 28, 2026 – Jan 1, 2027

$3,400

Register

Johannesburg, South Africa

Jan 25 – 29, 2027

$3,400

Register

At a Glance

Training in Johannesburg, South Africa

Johannesburg is South Africa's economic heart, home to the JSE and the head offices of Africa's largest companies.

More about training in Johannesburg →
Format
Classroom, in Johannesburg
Duration
Mon - Fri (5 Days)
Fee
USD 3,400
Next start dates
Nov 2, 2026, Nov 30, 2026, Dec 28, 2026
Certificate
Certificate of Completion
Airport
O.R. Tambo International (JNB)
Time zone
South Africa Standard Time (UTC+2)
Currency
South African rand (ZAR). Fees are listed in USD.
Business districts
Sandton, Rosebank and Midrand

About this course

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.

Training Objectives

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.

What you'll learn

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.

Key Takeaways

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.

Training Methodology

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
FAQ

Frequently Asked Questions About Data and Analytics for Banking Supervision & Regulatory Compliance Training Course in Johannesburg

Everything you need to know about this course before you register.

Data and Analytics for Banking Supervision & Regulatory Compliance Training Course runs as classroom training in Johannesburg, South Africa, in Monday-to-Friday cohorts that start every four weeks. The venue, daily timings and joining details are sent in your Joining Instructions email ahead of the start date.

Still have questions about Data and Analytics for Banking Supervision & Regulatory Compliance Training Course in Johannesburg? Chat with an advisor·Visit the full FAQ

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They facilitated our strategy review, we improved departmental KPI alignment by 35% and reduced operational bottlenecks significantly.

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Employee engagement scores increased following the leadership training program. The difference in accountability culture is evident.

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