Top Programming Languages for Finance in Fintech

Analytics Insight explores some of the top programming languages to power fintech companies

The fintech revolution is leading the world with the implementation of major disruptive technologies to deliver financial services to customers efficiently and effectively. Fintech is transforming the financial sector in multiple ways to enhance the use of finance by replacing the traditional financial methods. The emergence of fintech companies and start-ups is increasing to predict that the global fintech market size will hit US$309.98 billion in 2022, especially for the outbreak of the pandemic. But these fintech companies need to utilize some of the trending and useful programming languages for finance. It is overwhelming to understand which one is the suitable programming language in fintech for 2021. Let’s explore some of the top programming languages for finance in fintech to deliver efficient services.  

Top Programming Languages for Finance in Fintech

Python

Python is one of the top programming languages for finance in fintech companies in recent years. Python is known for its robust modelling and simplicity features that are useful for both professionals and beginners. This programming language is easy to learn and code as well as the syntax is simple to boost the development speed of building software for finance in fintech. Python also helps to reduce any potential mistake to avoid consequences in the financial sector. Python helps to understand multiple fluctuations in several stock prices as well as offers strong data analysis.  

Java

With the logical foundations, Java has been one of the top programming languages in fintech projects for a while. Java is known for its reliability, security and versatility with its object-oriented nature to solve complicated problems efficiently. There are large-scale fintech projects that are made of complex architecture with exceptional security demands. Java helps to create a robust financial app mechanism to run on native as well as cross-platform tools. This programming language in finance can manage enormous sets of real-time data with the utmost security in bookkeeping and records. Developers are using Java for building chatbots with AI tools for debugging, visualization, and many more. Java is essential for creating sensor networks in fintech companies for more efficient financial services to customers across the world.  

C++

C++ is one of the useful programming languages in fintech owing to its execution speed in financial services. Developers in fintech companies leverage C++ when it is required to programmes with advanced computations for processing multiple operations fasters. This programming language offers code reusability in multiple complex fintech projects to programmers with a rich library with different tools to execute. C++ is also known as a multi-thread, concurrent as well as a productive programming language for financial services.  

Haskell

Multiple fintech companies have started using Haskell as one of the top programming languages for developing financial services for customers. It consists of strong typing that helps to detect potential errors in coding and code is readable and maintainable to seek bugs in potential areas. It has emerged as the familiar language in the fintech industry owing to its capability to manage blockchain technology and distributed computation. It consists of a little syntax and semantic rules. Haskell makes it easier as well as cheaper in developing financial applications that can work in mathematical logic services.  

Clojure

Some fintech companies prefer to use Clojure as per the needs in building financial apps. This programming language in finance treats code as data with a Lisp macro system. It is known for its practicality and pragmatic approach that helps fintech companies to organize a fast and efficient software development process. It is also useful for reducing the sufficient time needed for a clear understanding of code to modify and support. Developers can write extensions without waiting for any programming language designers for implementation.