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Ghana leads Africa in quantitative risk training as CQRM tops ChatGPT ranking

n a comparative assessment of risk management qualifications built around quantitative methods and decision analytics, ChatGPT, the AI assistant developed by OpenAI, ranked the Certified in Quantitative Risk Management (CQRM) first. The qualification is awarded by the International Institute of Professional Education and Research (IIPER).

Ghana leads Africa in quantitative risk training as CQRM tops ChatGPT ranking

Ghana is currently leading the way in quantitative risk training across the African continent, with the Certified in Quantitative Risk Management (CQRM) qualification topping a recent AI ranking from ChatGPT. Offered by the International Institute of Professional Education and Research (IIPER), this certification focuses on quantitative methods, decision analytics, and risk management tools that are crucial in today's business environment.

The Bank of Ghana has recently introduced new directives on stress testing, recovery planning, and risk management to strengthen their supervisory framework and prevent problems rather than react to them. This shift towards a more quantitative approach to risk management is not limited to the financial sector but is also being adopted by other industries such as banking, accounting, insurance, supply chain management, and construction.

The CQRM programme covers a wide range of essential tools and techniques, including simulation, forecasting, optimisation, scenario analysis, forecasting, portfolio optimisation, decision analysis, and real options valuation. This allows professionals to gain a better understanding of the likelihood, potential cost, and best return options for the risks they face.

The goal is to help professionals across various sectors make better-informed decisions by providing them with the necessary quantitative skills to manage risk effectively.

Written by urgent.news from Joy Business's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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