Live Online Data and Analytics for Banking Supervision & Regulatory Compliance Training Course
Live online, instructor-led · next cohort Nov 9, 2026 · from USD 800
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.
Practical sessions use Excel, Power BI and an introduction to Python to build dashboards, early warning indicators and simple stress-testing models. Compliance topics include transaction monitoring, anti-money laundering analytics, sanctions screening logic, model validation and governance of supervisory data. The programme suits bank supervisors, central bank analysts, compliance and risk officers, internal auditors, regulatory reporting managers and data teams in commercial banks. It is offered in classroom and in-house formats and closes with a CPD-accredited certificate. Afterwards you can design an indicator set, document the data lineage behind it and present findings that stand up to challenge from a bank's management.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (5 Days)
- Fee
- USD 800 (KES 80,000)
- Next start dates
- Nov 9, 2026, Dec 7, 2026, Jan 4, 2027
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
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
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
Day 1: Data Foundations for Supervision
- Risk-based supervision and the data it depends on
- Structure of prudential returns and Basel reporting concepts
- Data sources: returns, credit registries, payment systems and on-site findings
- Data quality dimensions and validation rules
- Reconciliation of returns to financial statements
- Exercise: finding errors in a flawed return
Day 2: Prudential Ratios and Peer Analysis
- Capital adequacy and leverage indicators
- Liquidity coverage and funding structure metrics
- Asset quality: non-performing loans, provisioning and restructured credit
- Concentration and large exposure analysis
- Peer group benchmarking and trend analysis
- Exercise: ranking banks on a composite risk score
Day 3: Dashboards and Early Warning
- Choosing early warning indicators and setting thresholds
- Building pivot-based analysis in Excel
- Power BI data models, measures and report pages
- Visual design for supervisory committees
- Alerts, escalation and follow-up actions
- Lab: a live dashboard for a sample banking sector
Day 4: Stress Testing and Advanced Analytics
- Scenario design for credit, market and liquidity shocks
- Building a simple solvency and liquidity stress model
- Outlier and anomaly detection methods
- Introduction to Python and pandas for large files
- Interpreting results and communicating uncertainty
- Lab: running and reporting a stress test
Day 5: Compliance Analytics and Governance
- Transaction monitoring rules, scenarios and alert tuning
- Analytics for anti-money laundering and sanctions screening
- Conduct and consumer protection indicators
- Model validation, change control and data governance
- Automating regulatory reports and reducing manual error
- Action planning and course 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
On completing the labs and attending the full programme, each participant receives a CPD-accredited Certificate of Completion from Vision Reach Global Consultancy.
Choose Where You Want to Learn
Data and Analytics for Banking Supervision & Regulatory Compliance Training Course Venues
KenyaNairobiNext Nov 9· 13 dates$1,500- KenyaMombasaNext Oct 26· 13 dates$1,600
- KenyaNaivashaNext Nov 2· 13 dates$1,500
- KenyaKisumuNext Oct 26· 13 dates$1,500
- KenyaMachakosNext Nov 2· 13 dates$1,600
UgandaKampalaNext Nov 2· 13 dates$1,900
RwandaKigaliNext Oct 26· 13 dates$1,900
TanzaniaArushaNext Nov 9· 13 dates$1,900- TanzaniaDodomaNext Oct 26· 13 dates$1,800
- TanzaniaDar es SalaamNext Oct 26· 13 dates$2,000
- TanzaniaZanzibarNext Nov 16· 13 dates$2,600
NigeriaLagosNext Nov 16· 13 dates$2,800- NigeriaAbujaNext Nov 9· 13 dates$2,800
South AfricaPretoriaNext Nov 2· 13 dates$3,200- South AfricaJohannesburgNext Nov 2· 13 dates$3,400
- South AfricaCape TownNext Oct 26· 13 dates$3,800
UAEDubaiNext Oct 26· 13 dates$3,800
GhanaAccraNext Nov 16· 13 dates$4,500
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Frequently Asked Questions About Live Online Data and Analytics for Banking Supervision & Regulatory Compliance Training Course
Everything you need to know about this course before you register.
By the end of the Data and Analytics for Banking Supervision & Regulatory Compliance programme, you'll 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, and build early warning indicators and dashboards using excel and power bi. The full breakdown of topics is covered session by session in the Course Outline tab above.
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, and Insurance, SACCO and microfinance regulators extending their analytical skills.
Data and Analytics for Banking Supervision & Regulatory Compliance Training Course typically runs as 5 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Data and Analytics for Banking Supervision & Regulatory Compliance Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Data and Analytics for Banking Supervision & Regulatory Compliance starts November 9, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Data and Analytics for Banking Supervision & Regulatory Compliance Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data and Analytics for Banking Supervision & Regulatory Compliance Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data and Analytics for Banking Supervision & Regulatory Compliance Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data and Analytics for Banking Supervision & Regulatory Compliance Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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