Introduction
With the growing use of technology in finance, making decisions based on facts and figures is crucial for risk mitigation, fraud detection, and investment optimization. Predictive analytics leverages historical data and machine learning to forecast trends, while prescriptive analytics recommends optimal actions to enhance financial performance and risk management. This course introduces finance professionals to practical analytics tools and techniques. Participants will explore how data and AI tools can support financial tasks such as planning, reporting, and identifying potential risks. The course focuses on clear examples and easy-to-follow steps for everyday use in finance roles.
Course Outline
- Module 1
- Module 2
- Module 3
- Module 4
- Module 5
- Course Objectives
- Target Audience
Predictive & Prescriptive Analytics in Finance
- Financial analytics and risk modeling
- Key differences between predictive, prescriptive, and traditional analytics
- Role of AI and machine learning in financial decision-making
- Statistical and machine learning techniques for finance.
Predictive Analytics for Financial Forecasting & Risk Assessment
- Time-series forecasting for financial markets and risk predictions
- Credit scoring models: Logistic regression and Random Forests
- Machine learning models for fraud detection and anomaly detection
- Stress testing and scenario analysis using predictive models
Advanced AI & Machine Learning for Financial Predictions
- Neural networks for stock price forecasting.
- Sentiment analysis and NLP for market predictions.
- Automated trading and portfolio optimization.
- Risk model validation and improving predictive accuracy.
Prescriptive Analytics & Optimization in Finance
- Prescriptive analytics in investment and portfolio management.
- Optimization techniques for risk-adjusted returns.
- AI-powered recommendation engines for financial decision-making.
- Monte Carlo simulations for risk assessment and capital allocation.
The Future of Finance – Emerging Technologies & Innovations
- How AI and machine learning are reshaping financial risk management.
- The role of blockchain and smart contracts in predictive analytics.
- The next frontier in financial data processing.
- Ethical AI and responsible data use in financial decision-making.
By the end of this course, participants will be able to:
- Explore how predictive and prescriptive analytics are used in finance and risk.
- Identify ways to use forecasting for market trends, credit risk, and fraud signs.
- Use analytics to support portfolio choices and investment decisions.
- Detect unusual financial activities using AI and machine learning tools.
- Support compliance by using data models to highlight key risks.
- Work with cloud tools to process financial data and guide decision-making.
This course is ideal for:
- Finance officers.
- Finance team members.
- Risk management staff.
- Internal auditors.
- Budget and planning staff.
- Data analysts.
- Treasury and investment staff.
- Accounting and reporting professionals.
- Compliance and regulatory staff.
- IT or digital transformation staff.
Course Schedule & Fees
- Kuala Lumpur
- Singapore
- Amsterdam
- Online
- Course Fees
This course will take place in Kuala Lumpur on the following dates:
| 26/05/2025 | 09/06/2025 | 23/06/2025 | 07/07/2025 |
| 21/07/2025 | 04/08/2025 | 18/08/2025 | 01/09/2025 |
| 15/09/2025 | 29/09/2025 | 13/10/2025 | 27/10/2025 |
| 10/11/2025 | 24/11/2025 | 08/12/2025 | 22/12/2025 |
| 05/01/2026 | 19/01/2026 | 02/02/2026 | 16/02/2026 |
This course will take place in Singapore on the following dates:
| 19/05/2025 | 09/06/2025 | 30/06/2025 | 21/07/2025 |
| 11/08/2025 | 01/09/2025 | 22/09/2025 | 13/10/2025 |
| 03/11/2025 | 15/12/2025 | 05/01/2026 | 26/01/2026 |
| 16/02/2026 |
This course will take place in Amsterdam on the following dates:
| 26/05/2025 | 16/06/2025 | 07/07/2025 | 28/07/2025 |
| 18/08/2025 | 08/09/2025 | 29/09/2025 | 20/10/2025 |
| 10/11/2025 | 01/12/2025 | 22/12/2025 | 12/01/2026 |
| 02/02/2026 | 23/02/2026 |
This course will take place Online the following dates:
| 20/05/2025 | 17/06/2025 | 15/07/2025 | 12/08/2025 |
| 09/09/2025 | 07/10/2025 | 04/11/2025 | 02/12/2025 |
| 30/12/2025 | 27/01/2026 | 24/02/2026 |
| Kuala Lumpur | Singapore | Amsterdam | Online |
| USD$ 3,580 | USD$ 5,600 | USD$ 5,600 | USD$ 1,920 |
