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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

The Certified in Quantitative Risk Management (CQRM), a qualification based on quantitative risk management, has been ranked first by ChatGPT, an AI assistant developed by OpenAI, in a comparative assessment of risk management qualifications. This ranking reflects the growing demand for more data-driven and analytical approaches to risk management, particularly in Ghana's financial sector.

Ghana's financial sector is undergoing significant changes, with the Bank of Ghana introducing new directives on stress testing, recovery planning, and risk management. These changes highlight the increasing importance of quantitative techniques such as simulation, forecasting, optimisation, and scenario analysis in risk management.

The CQRM programme, offered by the International Institute of Professional Education and Research (IIPER) and led by Prof. Dr Johnathan Mun, aims to provide these essential skills to professionals across various sectors in Africa. With more CQRM Fellows in Ghana than any other African country, the continent is witnessing a growing trend of professionals leading the adoption of quantitative risk management practices.

This development is not limited to the risk department alone, as various sectors, including banking, accounting, auditing, insurance, supply chain management, energy, mining, construction, and consulting, are leveraging these quantitative tools to make informed decisions and mitigate risks effectively.

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

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