The trend in the financial industry is clear: Technology powered financial services is the way of the future, and it is critical that finance professionals have the technology acumen to ensure your firm is not left behind. It is becoming increasingly important for organizations to understand not only the application of expansive technological advancements like AI and machine learning in the area of finance, but also technologies that are integral to the future of financial services like distributed ledgers and algorithmic trading.
The Financial Technology Professional Certificate program provides an overview of the most recent technological advances that are radically changing the financial services industry, and all other industries that rely on automated financial transactions, as a result.
These technological breakthroughs offer new ways for people and organizations to save, invest, borrow, and transact. Learn how new technologies create value in the financial industry, from reducing unit cost, increasing transparency, increasing competition, creating network effects, leveraging economies of scales, and lowering asymmetric information. The program also explores the competitive landscape and the market opportunities and threats for incumbents and new entrants.
The program is divided into 4 courses.
The program will cover both the business opportunities and growth areas in the fintech industry, as well as the technology underpinning the industry, from machine learning to blockchain, APIs and IoTs.
You can enroll in the entire 4-course program to gain a comprehensive knowledge of fintech, or select individual courses to hone in on specific topics and skills. Financial professionals are often required or encouraged to continue their education to practice their profession. For some associations, this program may be used for Continuing Education Credits. Please check with your local or national organization if the program qualifies.
This is the third in a series of courses on financial technology, also called Fintech. This course provides an overview of machine learning applications in finance.
The course is structured into three main modules. In the first one, we will survey the crowdfunding market. We will talk about equity crowdfunding and P2P or marketplace lending.
In the second module, we will first learn what artificial intelligence is, and the attempts to create machines and algorithms that can replicate, mimic, and replace human activities. We will review the main machine learning tools, starting from measuring the accuracy of predictive models, to basic linear regressions, linear and non linear machine learning models, and deep learning, and their applications in finance. We will also use python to model credit application decisions.
The third module focuses on quantitative investments, roboadvising, and finance in social platforms.
Having a good grasp of machine learning is becoming a necessary skill in the labor market. After you complete this course, you will be able to have a detailed understanding of what machine learning is, and how it is applied in the financial sector.
Financial professionals are often required or encouraged to continue their education to practice their profession. For some associations, this program may be used for Continuing Education Credits. Please check with your local or national organization if the program qualifies.
This course provides a review of the most recent technological advances that are radically changing the financial services industry.
This course provides a business-oriented examination of blockchain technology and its applications.
This course provides a detailed explanation of machine learning and its applications in finance.
This course provides an in-dept review of the technology of payments, API, open banking, insurtech and Internet-of-Things in finance.