2026 Pre-conference treasury training courses | Barcelona, Sept 15th
Develop key skills and techniques in the specialist pre-conference training course of your choice.
This workshop provides practical examples of the practices used by multinationals to meet challenges. There is a particular focus on treasury’s activities impact on the wider finance and other business functions.
In a rapidly changing economic environment, treasury is both central and critical to many of the key tasks facing a CFO. These include, but are not limited to, ensuring the solvency of the company, safeguarding assets and controlling and managing risk. Risks today come in many forms, driven by the volatility of exchange rates, fluctuating bank appetite for credit risk and more recently interest rate volatility. Political and country risk is also firmly back on the agenda. Coupled with significant internal changes around shared service adoption, working capital management and automation possibilities there is an important challenge in deciding where to focus and invest for the optimum return.
Key topics
- The evolving role of treasury and whether there is an absolute “best practice” in treasury?
- What are the proven and available treasury organisation structures and treasury techniques
- How to manage corporate liquidity; solvency and controlling investment risk
- The role of supply chain financing and working capital management
- The various treasury approaches for shared service centres and payment factories
- Global payment infrastructure and treasury technology
- How cyber-risk and cyber-security are crucial to treasury and the wider business
- What to expect in the future
Who should attend
This course is ideal for CFOs and/or Financial Controllers new to treasury management or as a refresher to update your current knowledge and set the agenda for the coming year and beyond.
Course tutor
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Adrian Rodgers
Senior EuroFinance tutor and director
Arc Solutions
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Adrian Rodgers
Senior EuroFinance tutor and director
Arc Solutions
Adrian has over 30 years’ experience of working as a consultant, and in the banking and corporate sectors. After qualifying as a Chartered Accountant, Adrian spent a number of years with IBM, in a variety of treasury and sales roles. Adrian was also part of the implementation team which created IBM International Financial Services, the European centralised treasury operation based in Dublin. Adrian then joined the newly created cash management consultancy team of Chase Manhattan Bank, with a brief to help create cash management solutions which matched the needs of customers’ underlying businesses and technology infrastructures. As a Director at PricewaterhouseCoopers, he specialised in managing change in the finance function, including re-engineering of corporate treasury. His current company is an independent consultancy providing advisory, design and implementation services to corporates and banks, on a variety of change-related issues within the finance function. Services include strategy development, process design, bank and vendor selection and project management. Clients include major corporations with a strong international focus.
Many corporate treasuries are seeking to centralize and automate their cash management processes, through In-House Banks, payment hubs and even collection factories, in order to achieve a greater degree of efficiency, as well as visibility and control. This training will start with an overview of In-House Banking, the business case drivers and
technology options. It will also dive deeper into the more technical aspects of in-house banking, payment hubs and connectivity such as design and implementation considerations and best practices in deployment approaches. Finally, it will explore how leading In-House
Banks may develop over the next decade, exploring the use of AI and tokenisation technologies.
Learning objectives:
- Learn about the concept of and the services offered by an In-House Bank
- Understand the financial and non-financial benefits an In-House Bank can bring
- Learn about the key considerations that are important when designing and
implementing an In-House Bank, such as the technology choice, transfer pricing,
accounting considerations, impact on FX risk management, organizational impact - Learn how to deal with legal, fiscal and monetary restrictions while maximizing the
benefit of the In-House Bank - Learn about Transaction Hub concepts
- Go through tangible case studies of leading In-House Bank implementations
- Explore how In-House Banking may further develop towards 2030
Course tutors
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Fernando Almansa
Director
ZandersX
Fernando Almansa
Director
ZandersFernando Almansa is a Director at Zanders. Fernando has over 25 years of experience in the treasury consulting and financial services industries, having worked with global US banks within the transaction banking and capital markets space for over 20 years. Since joining Zanders in 2022, Fernando focuses on advising multinational corporations on In-House Bank designs and cash management bank selection projects. He holds a MBA from IESE Business School and passed all CFA exams. Fernando is a regular speaker at treasury forums and public training courses organized by Eurofinance and UK ACT.
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Eliane Eysackers
Director
Zanders
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Eliane Eysackers
Director
Zanders
Eliane Eysackers is a Director at Zanders with over 35 years of experience in treasury technology and transformation. 14 years ago, she joined Zanders, and specialized in SAP S/4HANA, enterprise liquidity, in-house banking, payments, and cash flow forecasting, helping global organizations simplify complex treasury landscapes. Eliane is known for translating intricate requirements into practical solutions and guiding multinational clients across industries through large-scale treasury modernization. Her leadership blends analytical depth, client-centric collaboration, and a proactive, resilient approach that brings clarity to complexity and drives successful transformation programs.
In an era of rapid technological shift, the role of the modern treasurer is evolving beyond traditional spreadsheets and processes. This intensive one-day workshop is designed to bridge the gap between cutting-edge AI technology and everyday treasury operations.
This one-day workshop shows treasury professionals how to apply AI tools in their daily work. We start with the essentials of Large Language Models (LLMs) and quickly move into practical, hands-on labs. You’ll learn to craft AI-driven prompts for almost any treasury task and even use Python to detect currency exposures. By the end of the day, you’ll have concrete examples and a clear roadmap for integrating AI and automation into your treasury operations.
Learning objectives
By the end of the course, participants will:
- Become familiar with the AI LLM technology landscape
- Identify their potential applications
- Learn how to write effective prompts and apply them to treasury-related problems
- Identify FX exposures by currency using Python
- Leave with a plan to apply Python and AI tools in their organisation
Who should attend?
Audience: Finance/treasury professionals and technologists interested in AI (e.g. treasurers, analysts, IT- or finance-team members). No prior AI knowledge required, but basic familiarity with data/Excel is helpful.
Prerequisites:
Bring a laptop with internet access for live demos and exercises. We will provide datasets (creditor/debtor files and FX rates) and a Jupyter notebook.
Course tutors
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James Kelly
Co-Founder
Your Treasury
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James Kelly
Co-Founder
Your Treasury
James Kelly is Co-Founder of Your Treasury, a firm specialising in practical applications of AI, data science, and automation in corporate treasury. He works with multinational treasury teams to simplify complex processes, improve decision-making, and unlock value from existing data and systems.James brings extensive senior treasury leadership experience, having served as Group Treasurer at Pearson plc, Associated British Ports, and Rentokil Initial plc, as well as earlier roles at Kingfisher and Sky. A Fellow of the Association of Corporate Treasurers (FCT) and Chartered Accountant (ACA), he is recognised for his innovative use of technology and holds the Adam Smith, Alexander Hamilton, and TMI awards. His work focuses on combining modern data tools such as Python and large language models with deep treasury expertise to deliver fast, practical improvements in areas such as cash forecasting, FX exposure management, and operational efficiency.He regularly delivers workshops and training for treasury teams and industry groups on applying AI and advanced analytics in day-to-day treasury operations.
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Dominic Lynch
Co-Founder
Your TreasuryX
Dominic Lynch
Co-Founder
Your TreasuryDominic Lynch is Co-Founder of Your Treasury and an innovative treasury transformation specialist with a background spanning corporate treasury, consulting, and financial risk management.
Dominic has built cutting-edge centralised treasury models for high-growth companies and brings prior consulting experience advising S&P 500 organisations and banks on financial risk management. He has particular expertise in treasury management systems, treasury operating model design, and the integration of digital assets into treasury frameworks. A multiple award winner, he holds AI and Digital Asset accolades from both the Adam Smith Awards and TMI.
At Your Treasury, Dominic focuses on helping treasury teams modernise their processes, integrate data more effectively, and deploy practical technology solutions that deliver measurable operational improvements.
This session provides a structured, end‑to‑end overview of Financial Risk Management (FRM) in corporate treasury. It covers how corporates identify, measure, manage, and report key financial risks—primarily FX, interest rate, and credit risk—within a coherent risk management framework. The training combines conceptual foundations with practical examples, policies, instruments, and governance considerations, enabling participants to translate risk management theory into effective treasury practice.
After this session, participants will be able to:
• Understand the role of treasury within corporate risk management
• Distinguish between business, operational, and financial risks, and explain the specific responsibility of treasury in managing financial risks.
• Understand how to apply qualitative and quantitative techniques—such as sensitivity analysis, scenario analysis, and Value at Risk (VaR)—to assess impact and probability and prioritize risks.
• Translate corporate objectives, risk appetite, and risk‑bearing capacity into a clear financial risk management policy and hedging strategy.
• Evaluate when to accept, reduce, avoid, or transfer risk, and understand the practical use of hedging instruments such as forwards, swaps, options, and cross‑currency swaps.
• Understand best‑practice end‑to‑end treasury processes
Course tutor
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Sander de Vries
Director
ZandersX
Sander de Vries
Director
ZandersSander de Vries is a Director at Zanders. Sander has extensive experience in treasury consulting and he heads Zanders Financial Risk Management advisory practice towards multinational corporations. Since joining Zanders in 2012, Sander focuses on advising multinational corporations in defining fit for purpose FRM approaches . He graduated with honors for the BSc Business Economics, and he holds a MSc Finance degree. Sander is a regular speaker at treasury forums and public training courses.
Navigate the evolution from yesterday’s treasury transformation to tomorrow’s AI-enabled treasury function in this intensive full-day masterclass designed for senior finance professionals and transformation leaders.
Starting with best-in-class treasury foundations, you’ll explore how market drivers and emerging AI technologies, including machine learning, large language models, and agentic AI, are reshaping treasury operations.
Through a mix of real life case studies and theory, you will learn how to best leverage the latest technology to optimise and transform your treasury operations.
Key learning outcomes:
- Learn how treasury transformation has evolved with the introduction of AI
- Understand key pillars of treasury transformation – connected cash and cloud front office
- Master agentic AI concepts and practical treasury applications
- Design AI-enabled system architectures integrating with TMS/ERP platforms
- Develop business cases and roadmaps for AI transformation
- Address workforce transformation and upskilling strategies
- Analyse real-world case studies of agentic AI use in treasury
Course tutors
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Aniket Kulkarni
Partner, treasury and commodity trading technology leader
PwC
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Aniket Kulkarni
Partner, treasury and commodity trading technology leader
PwC
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Danielle Keller
Manager – treasury and trading technology
PwCX
Danielle Keller
Manager – treasury and trading technology
PwCDanielle Keller is a manager at PwC Switzerland specializing in Treasury and Operational Finance Transformation projects. She has 20+ years’ experience working on finance topics and has led many projects for large multinationals to implement connected cash which helped them realize quantifiable benefits for their organizations.
Registration and refreshments
Registration and refreshments
Registration and welcome coffee and introductions
Registration and refreshments
Registration and refreshments
Introduction
Introduction to corporate risk framework
- Scope of financial risk management
- Link to shareholder value creation
- Defining the financial risk management policy
- Example financial risk management framework
Intro to LLMs
- What are large language models?
- Fundamentals and key concepts
In-house banking – the basics
- In-house bank definitions
- Establishing the business case
- In-house bank scope of services
- Organisational positioning
The evolving role of treasury, is there a “best” treasury practice?
- Role of treasury in the 21st century: defensive, proactive, strategic approaches
- Maximising liquidity and availability of credit facilities
- Importance of cash, liquidity and working capital management
- Coping with risk: FX, interest rate, commodity, counterparty risk
- Treasurer as polymath
Best in class treasury of the future
- Treasury as a process
- Treasury organisation
- Treasury’s role as business enabler
Treasury transformation of yesterday
- Traditional business case for transformation
- What did transformation look like for corporates
- System architecture (transformation of yesterday)
- Treasury data foundation
AI platforms:
- Overview of ChatGPT/GPT, Copilot, etc.
- Recent developments (ChatGPT 4/5, enterprise tools)
Foreign exchange risk management
- Foreign exchange definitions
- Challenges in risk identification
- Best practices in FX risk measurement
In-house bank technology
- In-house bank technology capabilities
- ERP vs TMS vs best of breed
Treasury organisation and treasury techniques
- Organisation of treasury and the role of the CFO
- Setting treasury policy and governance
- Treasury as a tool to actively manage risks
- Levels of treasury responsibility: centralised, distributed, decentralised
- Inter-company lending
- Centralising exposure management: inter-company FX
- Treasury dashboards for CFOs
Refreshment break
What has changed?
- Market drivers
- Technology impacts (AI as a disruptor)
Coffee break
Exercise – interview the expert
Pairs role-play. Participants interview an LLM to understand its expertise.
Building the foundation for the future (today’s transformation) – connected cash and cloud front office : two pillars of treasury transformation
- Introduction to agent 0
- Introduction to connected cash
- Introduction to cloud front office
- Current business case for transformation
- Transformation roadmap
- System architecture (transformation of today)
- Treasury data foundation
Refreshment break
Refreshment break
Refreshment break
Foreign exchange risk management
- FX risk strategy & policy definition
- FX risk management process setup
- FX reporting and accounting
- FX instruments
Key design considerations
- Account structures and liquidity management
- Transfer pricing
- FX risk management
- Organisational set-up
Management of liquidity: maintaining solvency and controlling investment risk
- Accessing balances and capital locked in the organisation
- Types of notional pooling, zero balancing and concentration
- The tax, legal, documentation and regulatory issues
- Mobilising core balances and money market investment
- Tax neutral or tax advantaged treasury vehicles
- Impact of BEPS
- The changing role of cash flow forecasting
Group debrief: Share interview insights
Session 3 – skills documents
Understand how to produce skills documents and how to avoid hallucinations.
Introduction to AI technologies
- Machine learning (ML)
- Large language models (LLM) – GPT
- Quantum AI – future state of AI
Lunch
Lunch
Lunch break
Lunch
The lunch breaks, held next to the exhibition area, offer a relaxed setting to recharge and reflect on the morning’s sessions. Enjoy a meal while continuing conversations and discovering new ideas in an informal atmosphere.
Supply chain financing and working capital
- Principles of supplier and receivables financing
- Creating win, win, win in the chain
- Financing: POs, invoices, acceptances, promissory notes
- Leveraging credit differentials
- Distributor and inventory financing
Lunch
Agentic AI in transformation – hyper-automation – taking treasury insights to the next level
- Introduction to agent 0
- Deep dive into agentic AI
- Use cases and demos for AI in treasury
Interest rate risk management
- Strategy and goals
- Pricing strategies
- Interest rate instruments
Session 4 – prompt engineering
- Crafting prompts for treasury tasks.
- AI writing and reporting.
Deploying a global in-house bank
- Dealing with legal, fiscal, monetary restrictions through participation models
- Global roll-out approaches
Treasury approaches for shared service centres and payment factories
- Critical role of treasury – deliver banking interfaces to SSCs
- Integration of ERP accounting with payments systems
- Examples from ERP vendors
- In-house cash driven solutions for cashless funding, POBO, netting
- Achieving economies of scale: benchmarking the processes
- Challenges to eliminate domestic instruments and paper
Coffee break
How to achieve AI enabled treasury transformation
- Business case for AI enabled transformation
- Transformation roadmap
- AI enabled treasury system architecture – how to integrate AI with treasury systems?
- Integration of AI tools in TMS / ERP
- Data model
- AI agents
- Overall treasury system architecture (of the future)
Workshop – prompt lab: group exercise
- Participants design and test prompts for a given treasury scenario (e.g. cash flow forecasting).
Refreshment break
Refreshment break
Refreshment break
Financial counterparty credit risk
- Expected loss
- Setting credit limits
- Credit rating and CDS spreads
From in-house bank to transaction hub
- Latest trends in payment/connectivity hubs
- Transaction hub concept
- In-house bank data analytics
- Cyber and fraud
Refreshment break
The human angle – workforce transformation with AI
- Who is the workforce of the future
- AI enabled treasury workforce
- AI as a helper
- Treasury academy – upskilling treasury with the use of language models
- Impacts of AI on the workforce landscape
Exercise – Python FX exposure: hands-on coding
- Use provided debtor/creditor data and FX rates to calculate net currency exposures.
Global payment infrastructure and treasury technology
- The systems architecture of typical multinational
- Who needs a TMS? Who doesn’t?
- Connecting you company to its banks: multibanking and Swift
- Automated bank reconciliation and receivables matching
- Role of a treasury dashboard
Case studies - how treasuries have deployed AI to achieve best in class treasury?
- Automated treasury policy and SOP assistant
- Predictive models for FX exposures
- AI in a day in the life of a cash manager
FRM survey results
- Key challenges in Financial risk management
- Corporate FX risk management strategies
- Best market practices
Wrap-up and takeaways
Review key lessons, next steps.
In-house bank case studies
How to build an AI based transformation business case
- Transformation of business case from yesterday, today and tomorrow (what has changed)
- Benefits of AI based transformation – qualitative & quantitative
- Tips for business case approval
Cyber-risk and cyber-security
- Definitions
- Threat vectors
- Major risk areas; why AP? Why not treasury?
- Lowering your risk profile
End of course and presentation of certificates
Conclusion
In-house banking 2030 (including tokenisation, AI and payment fraud)
End of course and presentation of certificates
What to expect in the future
- Treasury policy agenda issues for CFOs
- Expectations; what to expect in 2O23 and beyond
- Policy agenda issues for treasurers
- New banking products
End of course and presentation of certificates
End of course and presentation of certificates
End of course and presentation of certificates
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