Introduction

Banking Payment Analytics Training Course is designed to equip banking professionals with the knowledge and practical skills required to analyze, optimize, and secure modern payment ecosystems. As financial institutions rapidly adopt Digital Payments, Real-Time Payments, Open Banking, ISO 20022, AI-driven Analytics, Fraud Detection, Payment Intelligence, Data Analytics, Financial Crime Compliance, Customer Journey Analytics, Embedded Finance, and Predictive Analytics, professionals must develop advanced analytical capabilities to improve operational efficiency, regulatory compliance, customer experience, and profitability. This program provides practical exposure to payment data analysis, transaction monitoring, payment risk management, KPI dashboards, and strategic decision-making using real banking scenarios.

The course combines Artificial Intelligence (AI), Machine Learning (ML), Business Intelligence (BI), Big Data Analytics, Payment Risk Analytics, AML Analytics, Customer Behavior Analytics, Digital Banking Transformation, Cloud Analytics, API Banking, FinTech Innovation, Blockchain Payments, and Data Visualization to help participants understand evolving payment infrastructures. Through hands-on exercises, banking case studies, interactive workshops, dashboards, and real-world projects, participants will gain the expertise needed to support digital transformation initiatives, improve payment performance, strengthen fraud prevention strategies, and deliver data-driven business insights that align with global banking best practices.

Programme Curriculum

Banking Payment Analytics Training Course

Introduction

Course Duration

10 days

Course Objectives

By the end of this training, participants will be able to:

Understand modern Digital Payment Analytics frameworks and banking payment ecosystems.
Analyze Real-Time Payment transaction data for operational excellence.
Apply AI and Machine Learning techniques for payment analytics.
Develop Fraud Detection Analytics models using transaction intelligence.
Implement ISO 20022 Payment Analytics for payment modernization.
Build Interactive Banking Dashboards using Business Intelligence tools.
Measure and optimize Payment KPIs and Performance Metrics.
Perform Customer Payment Behavior Analytics for personalized banking.
Utilize Predictive Analytics for payment forecasting and demand planning.
Strengthen AML, KYC, and Financial Crime Analytics capabilities.
Leverage Open Banking APIs and payment data integration.
Improve Operational Risk Analytics across payment channels.
Design a Data-Driven Payment Strategy aligned with digital banking transformation.

Target Audience

Banking Executives and Senior Managers
Payment Operations Professionals
Digital Banking Teams
Risk Management and Compliance Officers
Fraud Investigation and AML Analysts
Business Intelligence and Data Analytics Professionals
FinTech and Payment Solution Specialists
IT, Technology, and Digital Transformation Managers

Course Modules

Module 1: Banking Payment Ecosystem

Evolution of payment systems
Domestic and cross-border payments
Payment rails and infrastructure
Payment stakeholders
Case Study: Digital payment transformation in a commercial bank

Module 2: Digital Payment Analytics

Digital payment trends
Payment transaction lifecycle
Payment data sources
Digital banking KPIs
Case Study: Measuring digital payment growth

Module 3: Payment Data Management

Banking data architecture
Data quality management
Master data governance
Data integration techniques
Case Study: Building a payment data repository

Module 4: Payment Performance Analytics

Payment success rate analysis
Transaction monitoring
Customer payment analytics
Operational performance metrics
Case Study: Improving payment processing efficiency

Module 5: Fraud Detection Analytics

Fraud indicators
AI-based fraud detection
Behavioral analytics
Fraud risk scoring
Case Study: Detecting card payment fraud using analytics

Module 6: AML & Financial Crime Analytics

AML transaction monitoring
Sanctions analytics
Suspicious activity detection
Risk segmentation
Case Study: AML analytics implementation in retail banking

Module 7: ISO 20022 Analytics

ISO 20022 message standards
Payment data enrichment
Structured payment reporting
Migration analytics
Case Study: ISO 20022 migration dashboard

Module 8: Open Banking & API Analytics

API banking fundamentals
Open Banking ecosystem
API performance metrics
Third-party payment analytics
Case Study: API payment monitoring

Module 9: AI & Machine Learning in Payments

Predictive analytics
Machine learning models
Payment forecasting
Intelligent automation
Case Study: AI-based payment anomaly detection

Module 10: Customer Payment Analytics

Customer segmentation
Payment behavior analysis
Customer lifetime value
Personalization strategies
Case Study: Customer payment preference analysis

Module 11: Risk Analytics

Operational risk analytics
Credit risk in payments
Liquidity analytics
Enterprise risk dashboards
Case Study: Payment operational risk assessment

Module 12: Business Intelligence & Visualization

Power BI dashboards
Tableau analytics
KPI visualization
Executive reporting
Case Study: Executive payment analytics dashboard

Module 13: Cross-Border Payment Analytics

SWIFT analytics
Cross-border payment monitoring
FX payment analytics
Correspondent banking
Case Study: International payment optimization

Module 14: Emerging Payment Technologies

Blockchain payments
CBDC analytics
Embedded finance
Digital wallets
Case Study: Blockchain payment analytics framework

Module 15: Banking Payment Analytics Capstone

End-to-end payment analytics project
Dashboard development
Executive presentation
Performance improvement strategy
Case Study: Enterprise banking payment analytics implementation

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Payment Analytics Transaction Analysis Data Visualization Fraud Detection

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 06 Nov 2026

💻 Online / Virtual session

Online $2,000