Visualizing the Current Landscape of the Fintech Industry

Visualizing the Current Landscape of the Fintech Industry


The financial services industry is one of the most heavily regulated industries in the world. This is because of the importance of the industry to the economy, as well as the importance of the industry to the functioning of society. As a result, the financial services industry has been slow to adopt new technologies. However, the industry is now in the midst of a digital revolution. This is due to the emergence of new technologies, such as blockchain, artificial intelligence, and big data. These technologies are driving the growth of the fintech industry, which is a combination of financial services and new technologies. The fintech industry is now the fastest growing industry in the world. This is because of the emergence of new technologies, as well as the emergence of new business models.


Some of the most successful FinTech startups are based in the United States. These include Lending Club, Prosper, and SoFi. These startups have raised over $2 billion in venture capital funding. The fintech industry is expected to grow at a compound annual growth rate (CAGR) of 23% from 2016 to 2020. These companies are disrupting the traditional financial services industry by offering loans to consumers, as well as by providing financial services to small businesses.


The world of FinTech is very exciting. There are many opportunities for people who have the right skills. If you want to work in the fintech industry, you should learn as much as you can about the industry. This will help you to find a job that you love.


When it comes to working in such industry, the following are some of the most important skills that you need to have:


🧑‍🔬 Data Science - The ability to collect, organize, and analyze data. This includes the ability to use data to make predictions about the future.


⛓️ Blockchain - The ability to use data to create a decentralized ledger of transactions.


💻 Software Engineering - The ability to use data to create algorithms that can learn from data.




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