FREE COMPLETE COURSE · 5 PARTS

Treasury Technology

A complete course for finance professionals — from fundamentals to future trends

The full arc: what treasury technology is and why it matters, the entire technology landscape, real-world use cases with results, the skills and certifications that get you hired, and where the field is headed next.

01
Fundamentals
02
Tech Landscape
03
Use Cases
04
Skills
05
Careers
Duration
Self-paced
Level
Beginner to Intermediate
Prerequisites
Basic finance knowledge
After this course, you will be able to
  • → Explain what treasury technology is, why it matters, and how it evolved from mainframes to AI
  • → Map any tool into the technology landscape and understand TMS deployment tradeoffs
  • → Walk through four real treasury technology use cases with concrete, measurable results
  • → Build a skills roadmap and know the career path — and pitfalls to avoid — toward Treasury Technologist

Alina | TreasuryOS · treasuryease.com

Part 1 · Fundamentals

What is Treasury Technology?

Definition

Treasury Technology encompasses all software, systems, and digital tools used to manage an organization's cash, liquidity, financial risk, and banking relationships.

It bridges the gap between finance operations and technology infrastructure.

Core Components
  • Treasury Management Systems (TMS)
  • Bank Connectivity & Integration
  • Cash Management Tools
  • Risk Management Platforms
  • Payment Processing Systems
  • Reporting & Analytics
  • AI & Machine Learning Applications
Part 1 · Fundamentals

Why Treasury Technology Matters

30%

of CFO time spent on manual treasury tasks

€2.5M

average annual savings from TMS implementation

85%

of treasurers cite tech as top priority

Business Impact
Operational Efficiency

Automate repetitive tasks, reduce manual errors, faster processing

Risk Mitigation

Better FX exposure management, fraud detection, compliance monitoring

Real-time Visibility

Instant access to cash positions, balances across all accounts globally

Strategic Decision Making

Data-driven insights for investment, funding, and liquidity decisions

Part 1 · Fundamentals

Evolution of Treasury Technology

1980s
Mainframe Era

Batch processing, paper-based, limited automation

1990s
Client-Server

First TMS solutions, local installations, siloed data

2000s
Web-Based

SaaS emerges, better connectivity, SWIFT adoption

2010s
Cloud & Mobile

Real-time data, APIs, mobile access, fintech disruption

2020s
AI & Automation

Machine learning, predictive analytics, RPA, embedded finance

Today: Treasury technology is shifting from record-keeping to strategic decision support, powered by real-time data, AI, and seamless integrations.

Part 1 · Fundamentals

Core Treasury Functions

Understanding what technology needs to support.

Cash Management
  • Cash positioning
  • Bank account management
  • Pooling & sweeping
  • Intercompany funding
Liquidity Management
  • Short-term investing
  • Borrowing & debt
  • Working capital
  • Cash concentration
Payments & Collections
  • Payment execution
  • Payment factory
  • Collections management
  • Reconciliation
Risk Management
  • FX hedging
  • Interest rate risk
  • Counterparty risk
  • Commodity hedging
Bank Relationships
  • Multi-bank connectivity
  • Fee analysis
  • RFP management
  • eBAM
Compliance & Reporting
  • Regulatory reporting
  • Audit trails
  • Cash flow forecasting
  • Management reporting
Part 2 · Technology Landscape

Treasury Technology Landscape

Four layers — and how they need to talk to each other.

Core Systems
  • Treasury Management Systems (TMS)
  • Enterprise Resource Planning (ERP)
  • Banking Portals
Connectivity
  • SWIFT Network
  • Host-to-Host Connections
  • API Platforms
  • EBICS / SFTP
Specialized Tools
  • Cash Forecasting
  • FX Trading Platforms
  • Payment Hubs
  • Reconciliation Tools
Data & Analytics
  • Business Intelligence
  • Data Warehouses
  • Visualization Tools
  • AI/ML Platforms

Key Insight: Modern treasury requires integration across all layers. No single system does everything — success depends on how well systems communicate with each other.

Part 2 · Technology Landscape

Treasury Management Systems (TMS)

The central hub of treasury operations.

What is a TMS?

Specialized software that helps organizations manage their treasury operations — cash management, payments, investments, debt, and financial risk — all from a single platform.

Core Capabilities
  • → Cash position management & forecasting
  • → Bank account management (BAM)
  • → Payment initiation & tracking
  • → Investment & debt portfolio management
  • → FX & interest rate risk management
  • → Bank statement processing (MT940, CAMT)
  • → Intercompany netting & in-house banking
  • → Regulatory & management reporting
Major TMS Vendors
Enterprise

Kyriba, ION (Wallstreet Suite, IT2), FIS (Quantum, Integrity), SAP

Mid-Market

Coupa Treasury, GTreasury, Nomentia, Serrala, TIS

SMB / Emerging

Agicap, Trovata, Tesorio, HighRadius, TreasuryOS

Part 2 · Technology Landscape

TMS Deployment Models

On-Premise

Advantages

  • ✓ Full control over data
  • ✓ Customization flexibility
  • ✓ No external dependencies

Challenges

  • ✗ High upfront cost
  • ✗ IT maintenance burden
  • ✗ Slower updates

Best for: large enterprises with strict data sovereignty requirements

Cloud / SaaS

Advantages

  • ✓ Lower initial investment
  • ✓ Automatic updates
  • ✓ Scalability
  • ✓ Faster implementation

Challenges

  • ✗ Recurring subscription costs
  • ✗ Less customization
  • ✗ Data stored externally

Best for: most organizations — now the dominant model (80%+ of new implementations)

Hybrid

Advantages

  • ✓ Best of both worlds
  • ✓ Gradual migration path
  • ✓ Flexibility

Challenges

  • ✗ Complex architecture
  • ✗ Integration challenges
  • ✗ Dual maintenance

Best for: organizations transitioning from legacy systems

Part 2 · Technology Landscape

Bank Connectivity & Integration

How treasury systems communicate with banks.

SWIFT

Global messaging network. MT (legacy) and MX/ISO 20022 (modern). Payments, confirmations, statements.

Large corporates, global operations

Host-to-Host (H2H)

Direct connection via SFTP or VPN. Proprietary formats, bank-specific setup.

High-volume transactions, established relationships

EBICS

European Banking standard for secure file transfer. Common in DE, FR, AT, CH.

European operations

APIs

Modern real-time connectivity via REST/JSON. Instant balance checks, payment initiation, webhooks.

New implementations, fintech integrations

Bank Portals

Web-based access to banking services. Manual but universal. Often used as backup.

Small operations, backup access

Deep dive on connectivity: Bank Connectivity mini-course →

Part 2 · Technology Landscape

Data Formats & Standards

The language treasury systems speak.

Bank Statement Formats

MT940: SWIFT standard for end-of-day statements. Widely supported, structured text format.

MT942: Intraday transaction reports. Same structure as MT940 but provisional.

CAMT.053: ISO 20022 XML format for end-of-day statements. Richer data, replacing MT940.

CAMT.052: ISO 20022 for intraday reports. XML-based, detailed transaction info.

BAI2: US banking standard for cash management reporting.

Payment Formats

PAIN.001: ISO 20022 for credit transfers (payments out).

PAIN.008: ISO 20022 for direct debits (collections).

MT101: SWIFT format for payment requests to banks.

MT103: SWIFT single customer credit transfer.

SEPA XML: European standard for EUR transfers and direct debits.

ISO 20022: The Future Standard

ISO 20022 is a global standard for financial messaging that uses XML/JSON for richer, more structured data. SWIFT is migrating all traffic to ISO 20022 by 2025. Benefits: more detailed remittance info, better straight-through processing, improved compliance data, and standardization across payment types.

Use Case

Global Cash Visibility

The Challenge

A multinational company with 50 entities across 25 countries and 120 bank accounts struggles to answer: "How much cash do we have right now?"

  • ✗ Manual collection via bank portals takes 3-4 hours daily
  • ✗ Data arrives at different times, in different formats
  • ✗ FX conversion done manually in spreadsheets
  • ✗ No single source of truth — different reports show different numbers
  • ✗ By the time report is ready, data is already stale
The Solution
  • ✓ Automated bank statement collection via SWIFT/H2H
  • ✓ Standardized parsing of MT940/CAMT formats
  • ✓ Real-time FX conversion using market rates
  • ✓ Consolidated dashboard with drill-down capability
  • ✓ Automated daily cash position reports
  • ✓ Alerts for unusual balances or movements

Results: 95% time reduction, real-time visibility, better investment decisions

Use Case

Cash Flow Forecasting

Traditional Approach
  • • Collect forecasts from subsidiaries via email
  • • Consolidate in Excel spreadsheets
  • • Manual adjustments and assumptions
  • • Static snapshot — outdated quickly
  • • Variance analysis done retrospectively
  • • Limited visibility beyond 30 days
  • • No scenario modeling capability

Typical accuracy: 60-70%

Technology-Enabled
  • ✓ Automated data feeds from ERP, AR, AP
  • ✓ Historical pattern recognition
  • ✓ ML-based prediction algorithms
  • ✓ Rolling forecasts updated daily
  • ✓ Real-time variance tracking
  • ✓ 13-week and long-term projections
  • ✓ What-if scenario modeling

Achievable accuracy: 85-95%

Use Case

Payment Factory / Payment Hub

Centralize all outgoing payments through a single platform instead of each entity paying independently.

Before
Entity A → Bank 1, Bank 2
Entity B → Bank 3
Entity C → Bank 1, Bank 4
Entity D → Bank 2, Bank 5
After

All Entities → Payment Hub → Optimal Bank

Key Benefits
Cost Reduction

Fewer bank accounts, negotiated rates

Control

Standardized approval workflows

Visibility

All payments in one place

Compliance

Sanctions screening, audit trails

Use Case

Bank Fee Analysis & Optimization

15-25%

Typical savings from fee analysis

1000+

Different AFP service codes

80%

Of fees come from 20% of services

Fee Analysis Process
1 · Collect
Gather account analysis statements (BSB format)
→
2 · Normalize
Map bank-specific codes to AFP standards
→
3 · Analyze
Compare prices across banks and time periods
→
4 · Benchmark
Compare against market rates
→
5 · Optimize
Renegotiate or consolidate services

Tools: Redbridge Analytics, TIS, Kyriba Fee Analysis, proprietary Excel/Python models

AI & Machine Learning

AI & Machine Learning in Treasury

The next frontier of treasury technology.

Cash Forecasting
Mature

ML models that learn from historical patterns, seasonality, and external factors to predict cash flows with higher accuracy than traditional methods.

Anomaly Detection
Mature

AI identifies unusual transactions, potential fraud, or errors by comparing against normal behavior patterns.

Document Processing
Mature

OCR and NLP to extract data from bank statements, contracts, and confirmations automatically.

Automated Reconciliation
Growing

ML algorithms match transactions across systems, learning from corrections to improve over time.

Natural Language Processing
Emerging

Chatbots and AI assistants for querying treasury data, generating reports, and answering questions in plain language.

FX Prediction
Experimental

Models analyzing market data, news, and economic indicators to support hedging decisions.

Key Enabler: Clean, structured data is the foundation of any AI initiative in treasury.

Part 4 · Skills & Competencies

Technical Skills Required

Foundation
  • Advanced Excel (pivot tables, VLOOKUP, macros)
  • Database concepts (SQL basics)
  • Understanding APIs and integrations
  • Data visualization tools (Power BI, Tableau)
Intermediate
  • SQL querying and data manipulation
  • Python or R for data analysis
  • ERP navigation (SAP, Oracle, NetSuite)
  • TMS administration and configuration
Advanced
  • System integration architecture
  • API development and management
  • Machine learning concepts
  • Process automation (RPA, scripting)

Note: You don't need all advanced skills to start. Focus on foundations first and build progressively.

Part 4 · Skills & Competencies

Treasury & Business Skills

Technology alone isn't enough — you need domain expertise.

Treasury Knowledge
  • Cash management principles
  • Bank account structures and products
  • Payment systems (SWIFT, SEPA, ACH, etc.)
  • FX and interest rate instruments
  • Liquidity management strategies
  • Working capital optimization
  • Regulatory environment (KYC, AML, sanctions)
Business & Soft Skills
  • Project management
  • Requirements gathering and documentation
  • Stakeholder communication
  • Vendor management
  • Change management
  • Problem-solving and analytical thinking
  • Business case development

The ideal Treasury Technologist is T-shaped: deep expertise in one area + broad knowledge across treasury and technology.

Part 5 · Career Pathways

How to Become a Treasury Technologist

From Treasury
Most common path
  1. Build Excel expertise
  2. Learn SQL basics
  3. Get TMS training
  4. Volunteer for system projects
  5. Pursue technical certifications
From IT/Tech
Technical foundation exists
  1. Study treasury fundamentals
  2. Get CTP or similar cert
  3. Shadow treasury team
  4. Learn financial messaging
  5. Work on treasury projects
From Consulting
Broad exposure advantage
  1. Specialize in treasury tech
  2. Get hands-on implementation
  3. Build vendor relationships
  4. Develop industry expertise
  5. Consider in-house move
Part 5 · Career Pathways

Certifications & Learning Resources

Professional Certifications

CTP (AFP) — Certified Treasury Professional, gold standard for treasury

CCM (AFP) — Certified Corporate FP&A Professional

CertT (ACT) — Certificate in Treasury (UK-based)

FRM (GARP) — Financial Risk Manager, for risk focus

SWIFT — Various certifications on messaging standards

Technology Certifications

SQL certifications, Python (DataCamp, Coursera), Power BI / Tableau, vendor-specific TMS certifications (Kyriba, SAP Treasury)

Learning Resources

Associations: AFP, ACT, EuroFinance, Treasury Today

Online Courses: Coursera, LinkedIn Learning, Udemy

Vendor Training: Free webinars, certification programs

Communities: Treasury Peer, LinkedIn groups, local associations

Publications: Treasury & Risk, Global Finance, The Treasurer

Conferences: AFP Annual, EuroFinance, regional events

Part 5 · Career Pathways

Career Opportunities

Entry
Treasury Analyst

Day-to-day operations, reporting, basic system use

Mid
Treasury Systems Analyst

TMS administration, user support, reporting development

Senior
Treasury Technology Manager

System strategy, vendor management, project leadership

Leadership
Treasury Technology Director

Digital transformation, architecture, team leadership

Where to Work

Corporations: Multinationals, large enterprises with complex treasury needs

Banks: Corporate banking, transaction banking technology teams

TMS Vendors: Kyriba, ION, SAP, Coupa, GTreasury — implementation & support

Fintechs: Treasury startups, payment providers, cash management innovators

Consulting Firms: Big 4, Zanders, Deloitte, PwC — treasury technology advisory

Outlook: Treasury technology roles are growing 15-20% annually as digital transformation accelerates.

Bonus · Putting It Into Practice

Implementation Best Practices

Key success factors for treasury technology projects.

01 · Start with Process, Not Technology

Map current processes and identify pain points before selecting tools. Technology should solve real problems, not create new ones.

02 · Secure Executive Sponsorship

Treasury projects touch multiple departments. You need C-level support to drive cross-functional collaboration and secure budget.

03 · Clean Your Data First

Garbage in, garbage out. Bank master data, account structures, and entity hierarchies must be accurate before any implementation.

04 · Phase the Rollout

Don't try to do everything at once. Start with core functionality, prove value, then expand. Quick wins build momentum.

05 · Invest in Training

The best system is useless if people don't use it properly. Budget for comprehensive training and ongoing support.

06 · Plan for Change Management

People resist change. Communicate early, involve users in design, and address concerns proactively.

Bonus · Putting It Into Practice

Common Pitfalls to Avoid

✗ Buying Features You Don't Need

Enterprise TMS for a 5-entity operation? Focus on requirements, not vendor demos.

✗ Underestimating Integration Complexity

Bank connectivity, ERP links, and data feeds always take longer than planned.

✗ Ignoring End Users

If the team doesn't want to use it, the project fails. Involve them early.

✗ No Clear Success Metrics

Define ROI targets before starting. How will you know it worked?

✗ DIY When You Should Buy

Building custom solutions for standard problems wastes time and money.

✗ Skipping the RFP Process

Proper vendor evaluation prevents expensive mistakes. Take time to compare.

✗ Forgetting About Maintenance

Implementation is just the beginning. Plan for ongoing support and upgrades.

✗ Not Testing Thoroughly

UAT should include edge cases, error scenarios, and peak volume simulations.

Bonus · Where It's Headed

Future Trends in Treasury Technology

Embedded Treasury

Treasury functionality integrated directly into ERP and business applications rather than standalone systems.

Real-Time Treasury

Instant payments, real-time liquidity management, and continuous accounting becoming the norm.

Open Banking & APIs

PSD2 and open banking creating new connectivity options, bypassing traditional bank channels.

AI-First Applications

From assistants to autonomous agents that execute treasury tasks with minimal human intervention.

Blockchain & DLT

Trade finance, intercompany settlements, and supply chain finance applications gaining traction.

Sustainability Integration

ESG metrics, green financing, and carbon tracking becoming core treasury functions.

The treasury professional of tomorrow will be a technologist first, a finance expert second.

Key Takeaways

01

Treasury technology has evolved from record-keeping to strategic decision support

02

Modern treasury requires integration across TMS, ERP, banks, and analytics tools

03

Data quality and connectivity are the foundation of any successful implementation

04

AI and automation are transforming cash forecasting, reconciliation, and decision-making

05

The ideal Treasury Technologist combines deep domain expertise with technical skills

06

Start with processes and business needs, not technology features

07

The field is growing rapidly — there's never been a better time to specialize

✓ Course complete

What you know now

Treasury technology felt like a single, undifferentiated topic

→ You can name the five decades of its evolution and the four layers of a modern stack

"We should get a TMS" was a vague aspiration

→ You know the deployment models, the vendor tiers, and the four real use cases that justify one

Becoming a "Treasury Technologist" sounded like a made-up title

→ You have three concrete entry paths, the certifications that matter, and a career ladder from Analyst to Director

Implementation projects felt like a black box that either worked or didn't

→ You know the six best practices that make them succeed, and the eight pitfalls that make them fail

Want the in-depth version? Treasury Technology & Systems covers the same ground across six full modules, with case studies, exercises and templates.

Built by a treasurer, for treasurers. · treasuryease.com