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I would like to ask my friends in the financial sector: what are the differences and comparisons between CFA and CQF?
CQF: The International Certificate in Quantitative Finance (CQF) is an international quantitative financial engineering certification designed and launched by a team of internationally renowned quantitative financial experts including Dr. PaulWilmott, a researcher at Oxford University and the founder of hedge funds.

How useful is CQF to quantify financial analysts?

AQF means that domestic quantitative financial analysts (hereinafter referred to as AQF) are mainly assessed and certified by the Quantitative Financial Standards Committee. It is a professional level certificate representing the field of quantitative finance, and a certificate independently researched and developed by domestic institutions.

CQF focuses on the practical application of quantitative finance, including machine learning, data science, risk, fixed income, derivatives and so on. It teaches real skills used in today's financial markets. The project is provided by leading industry practitioners, such as Dr. Sébastien Lleo, Dr. Espen Gaarder Haug, Dr. Peter Jaeckel, Dr. Claus Huber, etc.

Once the students complete the project, they will be able to get the curriculum updates, new industry insights and resources permanently through the lifelong learning plan of the project, thus proving that their professional development can stand the test of the future.

The cqf project is currently the largest in the industry and globally recognized as the quantitative financial qualification certification for master's level. Cqf has been recognized by more than 5,500 professionals in 90 different countries to acquire the basic skills needed for further career development. Therefore, compared with hundreds of thousands of masters of financial engineering, the tuition of cqf has become relatively acceptable. The main application scenario of CQF is a large investment bank, which has a large number of pricing needs, and there will be more quantitative strategies for machine learning to explain to you.