An Interactive 3-Day Training Course

The Role of Artificial Intelligence in Financial Risk Management

Measuring and Managing Financial Risk

The Role of Artificial Intelligence in Financial Risk Management

Course Overview

The Role of Artificial Intelligence (AI) in Financial Risk Management training course is critical for all sectors and across different business models. Ever since computers were invented, humans have also wondered whether machines might be able to exhibit intelligent behaviour. AI is the interdisciplinary field that studies how machines can be made to think or act in an intelligent manner. In general, the AI label is attached to machines that can solve complex problems, which may involve acting or thinking in a human-like manner. This is crucial for Financial Risk Management, which often affected very quickly by changes in exchange rates, interest rates, and commodity prices. Using AI would allow managers to ensure financial risks are identified and timely managed by organisations. The Role of Artificial Intelligence in Financial Risk Management training course is designed to equip the delegates with knowledge of how AI could be potentially used in financial risk management.

This GLOMACS training will highlight

  • The role of AI in financial risk management.
  • How financial risks are measured.
  • Methods of risk estimations and the impact of AI.
  • How to diversify the risk.
  • Effective methods of using AI to manage the financial risks.

Training Objectives

The Role of Artificial Intelligence in Financial Risk Management training course will provide delegates with the expertise and understanding of the role of AI in financial risk management. The delegates will gain the know-how to assess the risk and potential role of AI in financial risk management.

At the end of this training course, you will learn to:

  • Assess the risk and analysing the returns.
  • Using various techniques of risk estimations.
  • Ability to construct a portfolio with minimum risk exposure.
  • How AI plays a central role in risk management.
  • Understanding of the current state of AI technology.

Training Methodology

This training course is structured as a highly participative workshop with formal presentations and interactive worked examples. Relevant real-life examples are provided to illustrate the application of each of the topics covered and opportunities to learn and apply the key concepts.

Organisational Impact

The organisation will benefit from the development and practical application of critical skills in financial risk management and analysis of the returns. Raising awareness of the importance of using AI in financial risk management.

Specific benefits for the organisation include:

  • An insight of the current state of AI industry.
  • The role of AI in financial risk management.
  • Ability to build an efficient portfolio.
  • Knowledge of how AI can be used in assessing financial risk management.

Personal Impact

Delegates will benefit from updated knowledge of AI financial risk management that will allow them to make a greater contribution to the development and improvement of investments and risk assessments. Participants will have:

  • Deeper knowledge of how to assess the risk.
  • The ability to measure the risk in a volatile market.
  • Risk and Return analysis and the role of AI.
  • A better understanding of the impact of AI.
  • Sufficient knowledge of financial market.

Who should Attend?

The Role of Artificial Intelligence in Financial Risk Management training course would be relevant to all of those involved in (or planning to join) making investment decisions or risk mitigation. This training course is suitable to a wide range of professionals but will greatly benefit:

  • Financial Accounting Team Members
  • Financial Planning and Budgeting Professionals
  • Strategic Planning and Head Office Team Members
  • Corporate Communication and Investor Relations Professionals
  • Investment Analysts and Advisers
  • Risk Management Teams
  • Traders
  • Investors in General

Training Outline

DAY 1: Artificial Intelligence (AI) and Financial Risk Management
  • Introduction to AI industry
  • An introduction to AI in Financial risk management
  • The current state of AI in Financial risk management
  • The scope of AI in Financial risk management.
  • Investing in AI
  • Applications of AI in Financial risk management 
  • Risk of AI in Financial risk management. 
DAY 2: Statistical Analysis and Role of the AI
  • Use of Excel functions for statistical analysis.
  • Descriptive statistics:
  • Mean, Median, Standard deviation, Skewness and Kurtosis 
  • Use of scatter diagrams, frequency and Histogram distribution. 
  • Regression techniques
DAY 3: Concept of risk and returns and AI approach
  • Investment Opportunities
  • Required Rate of Return
  • Sustainable Investment Strategies
  • Risk and Return
  • Portfolio Theory
  • Capital Market Theory
  • Asset Pricing Models
Certificates
  • On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
  • Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Sessions in Saudi Arabia locations

Venue: Jeddah - Saudi Arabia
Fee: US $3,950
Date: 25-27 Nov 2024
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Venue: Riyadh - Saudi Arabia
Fee: US $3,950
Date: 12-14 May 2025
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Venue: Jeddah - Saudi Arabia
Fee: US $3,950
Date: 24-26 Nov 2025
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Additional sessions in international locations

Venue: London - UK
Fee: US $3,950
Date: 04-06 Aug 2025
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