About This Course
This 3-day course will introduce treasury, finance, and risk management professionals to the key concepts of treasury risk management and how to integrate AI and machine learning (ML) tools into daily operations. Participants will learn traditional treasury practices alongside the latest AI/ML-driven approaches to predict cash flow, manage liquidity risk, and optimize financial decision-making using tools like Google Cloud BigQuery for ARIMA and Orange at a basic level.
Who Should Attend The Course
- Treasury staff: For those responsible for managing liquidity, forecasting cash flow, and ensuring optimal treasury operations.
- Finance professionals: Individuals involved in financial planning, budgeting, and reporting who want to leverage AI to improve financial accuracy.
- Risk management teams: Staff focused on identifying, evaluating, and mitigating financial risks, including market, liquidity, and operational risks.
- Accountants and financial controllers: Professionals who need to integrate forecasting into reporting and planning
- Business analysts and data professionals: Those who work with financial data and want to apply machine learning for better predictions.
Learning Objectives
- Understand the key principles of treasury risk management, including cash flow forecasting, liquidity management, and financial risk mitigation
- Learn to leverage AI/ML tools, specifically ARIMA using Google Cloud BigQuery and Orange, for financial forecasting and risk management.
- Develop hands-on experience using ARIMA for building cash flow forecasts and using Orange for machine learning applications.
- Gain insights into how AI can help improve financial decision-making and enhance risk management.
Course Outcomes
- By the end of this course, participants will: Have a deep understanding of treasury risk management and its associated challenges.
- Be able at a basic level, to leverage both ARIMA using Google Cloud BigQuery and Orange to forecast cash flows, manage liquidity risk, and makedata-driven decisions.
- Have hands-on experience with ARIMA and Orange, enabling them to implement AI-based forecasting within their organizations.
Know About Your Trainer
With over 45 years of experience at the intersection of international Treasury and Investment Banking Consulting, Peter has developed a comprehensive and nuanced expertise across both conventional and Islamic treasury environments. His career has been marked by the development of advanced trading models that have become foundational to innovative trading strategies. Through detailed portfolio analysis, he has enhanced asset performance and brought precision to asset allocations.
Relevant Experience And Clients
He has provided consultancy and training to prestigious clients such as Commerzbank, ING Bank and Group, ABN Amro, Arab Banking Corp, KIPCO, Qatar Intl Islamic Bank, Qatar Internal Islamic Bank, ARAMCO, Nakilat, HSBC, Gulf International Bank, and many others, either through his network of event management organizations or directly. This diverse client base reflects the breadth and depth of my expertise and the wide-reaching impact of his work in the field.
Course Outline:
DAY ONE: Fundamentals of Treasury
Risk Management
Session 1: Introduction to Treasury Management
- Overview of the treasury’s role in organizations.
- Core functions: liquidity management, cash flow forecasting, debt management.
- Key risks in treasury: liquidity risk, interest rate risk, FX risk, and credit risk.
Session 2: Traditional Approaches to Cash Flow Forecasting
- Overview of cash flow forecasting techniques:
o Historical data analysis.
o Trend-based forecasting. - Challenges in manual forecasting and its limitations.
Session 3: Risk Management in Treasury Operations
- Identifying and assessing financial risks.
- Strategies for mitigating risks (e.g., hedging, diversification).
- Importance of maintaining liquidity buffers.
Session 4: Introduction to ARIMA Using Google Cloud BigQuery
- Basic concepts of ARIMA and its application to treasury operations.
- Basics “How to implement ARIMA for cash flow forecasting using Google
- Cloud BigQuery”.
- Overview of Google Cloud BigQuery and its relevance to treasury management.
DAY TWO: Hands-On AI and Machine
Learning for Treasury
Session 1: Setting Up Google Cloud BigQuery and Orange
- Guide participants in setting up Google Cloud accounts and accessing BigQuery.
- Overview of Orange: how it works, key features, and no-code environment.
- Hands-on exercise: setting up a project in Orange using historical cash flow data.
Session 2: Data Preparation for Forecasting
- Importance of data quality in AI/ML forecasting.
- Workshop: Preparing and cleaning historical cash flow data in CSV format.
- Uploading data to Google Cloud BigQuery and importing into Orange
Session 3: Model Training with ARIMA in BigQuery
- Step-by-step guidance on training ARIMA models for cash flow forecasting using Google Cloud BigQuery.
- Generating forecasts and interpreting the results from ARIMA.
- Workshop: Participants train their ARIMA models using sample data.
Session 4: Evaluation of Forecast Accuracy
- Techniques to improve model performance for both ARIMA and Orange models.
- Discussion on how AI forecasts can provide better insights than traditional methods
DAY THREE: Advanced Applications and
Integration of AI in Treasury
Session 1: Advanced Forecasting Techniques with Orange
- Handling seasonality and external factors (e.g., holidays, economic events).
- Incorporating related datasets into forecasts for more accurate predictions.
- Workshop: Using multiple datasets to refine cash flow predictions in Orange.
Session 2: Automating Treasury Forecasts with Orange
- How to automate forecast generation using Orange and other tools.
- Discussion on automating treasury workflows for efficiency.
- Workshop: Setting up automated processes for regular cash flow
forecasts in Orange