About the IATACF
Maintain your professional edge over the course of your career.
The Lifelong Learning library, provided to our alumni at no additional charge, enables you to stay current with the latest developments in quantitative finance and machine learning, even after completing the IATACF Certification Program. This valuable online resource continually grows with fresh video content addressing current industry trends, all presented by distinguished practitioners and globally acknowledged experts.
Important Information
- Benefit from 900+ hours of additional lectures by industry experts.
- Explore 10 comprehensive subject areas covering various finance topics.
- Choose from two learning formats: standard lectures and in-depth masterclasses.
- Access the most up-to-date IATACF Certification Program curriculum.
- Enjoy round-the-clock access to lifelong learning resources through the IATACF Certification Program portal.
Extensive lectures covering a wide array of quantitative finance topics.
- Extensive lectures covering a wide array of quantitative finance topics.
- A library of over 900 hours of additional lectures encompassing every imaginable aspect of finance.
- Continuously updated content to ensure relevance and alignment with current industry standards.
- Taught by distinguished practitioners and academics
Mathematical Methodology Intensive:
- Immersive masterclasses on critical subjects within the field.
- A deep dive into specific topics with a repository of over 100 hours of rich educational material.
- Led by subject matter experts.
In-Depth Masterclasses:
- A rigorous 51-lecture program providing intensive coverage of mathematical methods.
- Focus on mathematical techniques directly applicable to real-world problem-solving.
- Equivalent to more than the content covered in the first two years of a mathematics degree program.
Quantitative Programming Essentials:
- A comprehensive curriculum comprising hundreds of hours of lectures on various technical and programming techniques.
- Distilled down to essential knowledge required by contemporary quant professionals in leading investment banks.
- Covers the theory of designing and translating pricing models into functional Python, C++, and other coding languages, critical for modern quantitative finance roles.
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