Since the 2008 global financial crisis, there has been a renewed interest in the financial institutions and financial markets in particular. In this backdrop, the role of informational efficiency and market quality and their implications for global financial markets have never been examined and scrutinized in more detail as it is done today.

This is due to the fact that the modern financial markets of today are increasingly integrated. Driven by news and social media, internet, and high-frequency algorithmic trading, dissemination of news and its incorporation in markets is extremely fast. This has not only raised a question on conventional theories pertaining to financial markets and security analysis, but has also started a debate on the role of regulatory institutions and other aspects related to social welfare objective that are to be achieved with financial markets as a vehicle of channelizing the resources of public to their most optimum use.

With the rise of AI and machine learning (ML), the conventional quantitative methods of investing in financial markets stand at extreme disadvantage. Particularly so because the advent of algorithmic low latency trading has completely changed the landscape of modern financial markets. AI and Machine learning algorithms are able to exploit the inefficiencies of financial markets within a fraction of a second. Therefore, in this battle of speed, technology, and efficiency, only those investors may be able to build capital that are equipped with the knowledge of the latest tools -that is, AI and ML.

With this background, the course offers a practitioner's understanding of AI and ML applications in the field of investment management, through solving real-life financial market problems, using python programming. The course is designed to help students in making a career in investment banking, trading, brokerages, and equity research firms as financial analysts, and other similar managerial and analytical positions. The course does not require any specific technical background or proficiency in coding. The course also offers a good starting point to those with purely academic and research interest.

Application Process

Step 1. Submit the application form and SOP(Statement of Purpose)

Step 2. Reviewing the application (The admission team will review the application and respond with the application status in 48 hours)

Step 3. Join The Program

(Confirmation of seat is subject to the payment)

Prerequisites

Basic understanding of Microsoft Excel and high-school level mathematics (geometry and algebra), and most importantly, the passion to learn about financial markets.

Program Highlights:

• 6 Months of Online blended learning
• Lifetime access to high-quality videos, hands-on exercises, real-life projects, and case studies
• Certificate from IIT Roorkee
• Proctored Exams with Deep Learning models with an opportunity to get Placed
• Course content created by industry experts and practitioners
• Access to the playground - fun, engaging and gamified environment to learn and practice technical concepts
• 180 days of access to the real-time online virtual lab for doing hands-on
• 24x7 best-in-class support

The batch is starting from February, 26th 2022

If you have any questions on the course or if anything else comes up, just hit reply and let us know. We're always happy to help or please feel free to get back to us at 080-4920-2224 or +1-412-568-3901 or mail us at cmVhY2h1cyB8IGNsb3VkeGxhYiAhIGNvbQ==.

Happy Learning,

Team CloudxLab