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Certificate In Quantitative Finance (CQF)

Delivered in partnership with Fitch Learning, the Certificate in Quantitative Finance (CQF) stands as the preferred choice of thousands of professionals across the globe over the last two decades. This esteemed program, meticulously facilitated by Prediction Power, empowers individuals to master the intricacies of real-world financial engineering techniques, propelling their careers to new heights. As the appointed partner of the CQF in India, Prediction Power extends the platform to embark on this transformative journey of knowledge and mastery.


The CQF syllabus encompasses a diverse array of subjects, including risk and return, equities, data science, machine learning, fixed income, and more. With a keen eye on aligning with the evolving needs of employers, the syllabus remains in constant evolution, shaped in consultation with esteemed senior alumni and faculty. The emphasis is on imparting the practical implementation of these techniques, ensuring delegates can seamlessly translate theory into practice.


Upon successful program completion, delegates are conferred with the prestigious CQF designation, widely recognized by top-tier firms on a global scale. Furthermore, all program alumni gain perpetual access to the continuously expanding Lifelong Learning library, enriched with over 900 hours of additional talks and masterclasses. Additionally, the Careers Service provides alumni with regular job postings, CV guidance, and other invaluable resources to fuel their professional journey.


Content

MODULE 1 - Building Blocks of Quantitative Finance


MODULE 2 - Quantitative Risk and Return


MODULE 3 - Equities and Currencies




MODULE 4 - Data Science and Machine Learning I


MODULE 5 - Data Science and Machine Learning II

MODULE 6 - Fixed Income and Credit



Advanced Electives

Highlights

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Delegates with diverse backgrounds and a wealth of experience

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Faculty of world-renowned practitioners and academicians

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Three online primers to refresh your knowledge before the start of the programme

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Access to the CQF network of 8,000+ alumni and current delegates

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Permanent access to the ever-expanding Lifelong Learning library at no additional cost

Details

Who Should Apply?

  • Ambitious professionals from a spectrum of backgrounds, including finance, economics, business, engineering, and the sciences
  • Anyone who wants an efficient and cost-effective way to develop practical mastery of Quantitative Finance and Machine Learning
  • Anyone who wants to earn a globally recognized qualification in Quantitative Finance 

Your CQF journey

Admission Criteria

The selection will be based on the delegate’s academic and professional background provided in the application form. 

Learning Outcomes

  • Apply mathematical frameworks and econometric models to quantitative finance
  • Explore the contemporary techniques of applying equities and currencies using different kinds of mathematics
  • Understand the financial applications of the latest data science and machine learning concept
  • Discover how interest rate models, credit, and credit risk models are used in quantitative finance

"Discover the career path that's right for you and take the steps towards success with the help of PredictionPower