Introduction

In today’s rapidly evolving digital banking ecosystem, Treasury Technology has become a strategic enabler for real-time liquidity management, automated cash forecasting, API-driven integration, cloud-based treasury systems, and advanced data analytics. Banks are increasingly leveraging AI-powered treasury platforms, blockchain-enabled payments, digital transformation strategies, and fintech collaboration models to enhance operational efficiency, reduce risk, and deliver seamless customer experiences. Treasury Technology for Banks Training Course provides a comprehensive, future-focused understanding of how treasury management systems (TMS), payment hubs, SWIFT connectivity, and ERP integrations are reshaping modern treasury functions in financial institutions.

This intensive training program equips participants with practical insights into treasury digitization, cybersecurity frameworks, data governance, real-time reporting dashboards, and regulatory technology (RegTech). It emphasizes the adoption of cloud-native architectures, open banking APIs, robotic process automation (RPA), and predictive analytics to optimize treasury operations. Through real-world case studies, participants will gain hands-on knowledge of implementing end-to-end treasury technology solutions, enhancing decision-making capabilities, and driving innovation in bank treasury operations.

Programme Curriculum

Treasury Technology for Banks Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand digital treasury transformation strategies in banking
Implement AI-driven liquidity forecasting models
Optimize real-time cash visibility and positioning systems
Integrate API-based treasury and payment platforms
Strengthen cybersecurity frameworks in treasury systems
Apply blockchain technology in cross-border payments
Enhance data analytics and visualization for treasury insights
Deploy cloud-based treasury management systems (TMS)
Improve regulatory compliance using RegTech solutions
Automate workflows using Robotic Process Automation (RPA)
Design scalable treasury IT architecture frameworks
Implement SWIFT connectivity and payment integration solutions
Leverage predictive analytics for risk management and forecasting

Target Audience

Treasury Managers and Treasury Analysts
Banking IT and Digital Transformation Teams
Risk and Compliance Officers
Payments and Cash Management Professionals
Fintech and Innovation Specialists
Financial Controllers and CFO Office Teams
Operations and Back-Office Professionals
Core Banking and System Integration Specialists

Training Modules

Module 1: Treasury Technology Landscape & Digital Transformation

Evolution of treasury technology in banking
Digital transformation frameworks and strategies
Role of fintech partnerships and innovation labs
Overview of treasury systems architecture
Emerging trends: AI, blockchain, cloud
Case Study: Digital transformation of a global bank’s treasury operations

Module 2: Treasury Management Systems (TMS) Implementation

Core components of TMS platforms
Vendor selection and system integration
Workflow automation and configuration
Real-time dashboards and reporting tools
Data migration and system testing
Case Study: Successful TMS implementation in a mid-tier bank

Module 3: Payments Technology & SWIFT Integration

Payment hubs and processing systems
SWIFT network and messaging standards
Cross-border payment technologies
API-based payment integrations
Fraud detection and monitoring tools
Case Study: SWIFT integration enhancing international payment efficiency

Module 4: Liquidity Management & Cash Forecasting Technologies

Real-time liquidity monitoring tools
AI-driven cash forecasting models
Intraday liquidity management systems
Cash pooling and optimization technologies
Stress testing and scenario modeling tools
Case Study: AI-based liquidity forecasting improving decision accuracy

Module 5: Cloud Computing & Treasury Infrastructure

Cloud-native treasury platforms
Benefits of cloud adoption in treasury
Data security and compliance in cloud environments
System scalability and performance optimization
Disaster recovery and business continuity planning
Case Study: Migration of treasury systems to cloud infrastructure

Module 6: Data Analytics, AI & Reporting in Treasury

Big data analytics in treasury operations
AI and machine learning applications
Predictive analytics for risk and liquidity
Data visualization tools and dashboards
Real-time reporting and decision support systems
Case Study: Data-driven treasury insights improving profitability

Module 7: Cybersecurity & Risk Management in Treasury Systems

Cyber threats in banking treasury systems
Security frameworks and protocols
Fraud prevention technologies
Identity and access management (IAM)
Regulatory compliance and audit controls
Case Study: Cybersecurity breach mitigation in treasury systems

Module 8: Open Banking, APIs & Future Treasury Innovations

Open banking ecosystem and API frameworks
Integration with fintech and third-party platforms
Blockchain and distributed ledger technology (DLT)
Digital currencies and CBDCs in treasury
Future trends in treasury technology innovation
Case Study: API-driven treasury innovation in a digital bank

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

Treasury Automation Digital Platforms Data Analytics Risk Management

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000