Best Programming skills in Finance

Being in any field of finance, your role either already requires or will soon require you to be able to program in at least one programming language. As the industry becomes more automated and technology driven, finance professionals with programming/technical skills are going to be more in demand and can help you stay relevant for the current job market. Follow through this article to learn various programming skills for finance.

What is Programming?

Programming is the process of writing instructions for a computer to perform. It is similar to a recipe for humans. A recipe contains a list of actions for humans to create a meal, and programs are actions for computers to follow. Programming is now a handy skill for many career paths, including finance.

What is the Use of Programming in Finance?

In finance, programming is useful in a variety of situations. These situations include pricing derivatives, setting up electronic trading systems, and managing systems. Banks such as Credit Suisse and Barclays are most interested in Java and Python skills. C++ is not as popular now but is still used. Since banks still operate legacy systems built on C++, programmers who understand the programming language still carry an advantage.

Best Programming skills in Finance

Top Programming Skills for Finance


JavaScript is for front-end web development. It makes web development easier and attractive. Also, it can make web pages more interactive. For example, games, mobile apps, and web apps use JavaScript to enhance user experience.


Python is influential in fintech, which isn’t surprising, as it ranks the most popular programming language in the world.

Python is a popular fintech language because it’s simple, flexible, and one of the easiest coding languages to learn; especially for beginners. Professionals use the language in a variety of industries and as a result, more than 51 percent of hiring managers look for candidates who knows Python.

Furthermore, Python’s syntax is comparatively clear and easy to read — an important point when writing programs and applications to address complex financial issues. Python can also be scaled to meet the needs of many different financial companies, from small startups to global banking and trading firms.

Python’s vast library of tools and packages makes life much easier for programmers, saving them the time and effort of building projects from scratch. Python’s functionality and range of resources have made it useful in data science, machine learning, and AI, which are driving the key technologies in financial services. These qualities also make Python one of the best programming languages for quantitative finance.


This is a top-ranked programming language in finance for reasons that mirror its general cross-industry popularity. The language as a friendly learning course can handle significant amounts of data, and boasts rigid security features. These characteristics have contributed to Java’s popularity in banking and finance for more than 25 years — and because Java has been used for so long, it remains a key language of choice even as new languages emerge.

Java is a general-purpose language; it can be used to write programs and apps for a variety of purposes. Due to its versatility (Java shows up on websites, mobile devices, and internet-enabled appliances), Java has helped revolutionize how we shop and bank. Programmers use the language to build e-commerce platforms, banking apps, and trading algorithms in quantitative finance.

In addition to being considered one of the most secured programming languages, it is also one of the most resilient, and one of the foundational programming languages for innovations in the banking industry.


C++ is another veteran programming language which is considered very fast because it is a compiled language, meaning that a compiler translates its code to machine language. Since the computer requires less translation to understand the code you’re writing, it operates more efficiently.

Many companies, including financial institutions, have been using C++ for years to develop software, operating systems, and other products. That longevity has embedded C++ in many industries, including those in finance and fintech. It’s also commonly used in quantitative finance. In addition, developers have built thousands of libraries and tools to complement its use. And despite its age, C++ is a favorite language for machine learning because of its speed.


C# (pronounced “see sharp”) is a next-generation version of C++ that also maintains a strong foothold in fintech (the fourth-ranked language) and finance (fifth-ranked). C# is an object-oriented language used to build dynamic applications that run in the Microsoft .NET ecosystem. Like C++, C# traces its roots to the C family of languages, and programmers who know C++ and Java will find it familiar. Therefore, C# is another handy programming language for those in finance and fintech.

C# is an important language for companies that builds applications on Microsoft’s .NET development framework. The language was created specifically for the framework, making app-builds easy and secure. It also benefits from a huge user community and library of tools. Many developers recommend Microsoft’s .NET as the framework of choice for fintech, thus making C# a core component.


The makers of Ruby call it a language that focuses on “simplicity and productivity.” Perhaps that’s why >companies — especially startups — in the world of digital finance use Ruby in conjunction with its Ruby on Rails framework. Developers cite ease of use (which saves time and money) and the framework’s built-in security features as their top reasons for their preference.

Ruby shares many programming traits important to fintech — notably speed, security, and flexibility. Programmers use Ruby to build many kinds of financial products, including payments systems and dashboards. The Rails framework helps simplify the code-writing process and further speeds up the product-creation process. For startups looking to create their first MVP (minimum viable product), Ruby is considered a strong language choice.


SQL is different from other programming languages mentioned here. You won’t build websites or applications using it. But SQL is vital to finance and fintech because it harnesses the power of databases, making it an essential tool for those working in finance.

SQL (commonly pronounced “sequel”) is one of the primary languages used for communicating with databases. Where Python, Java, and others are general-purpose programming languages, SQL is considered to be domain-specific. It works primarily with relational databases to store, locate, retrieve, and manipulate data within and from them.

Financial institutions generate enormous amounts of data that they need to analyze. And professionals who work in business, marketing, sales, and finance understand the importance of proper data analysis to their success. SQL is the conduit to that success. It is part of data processing platforms, used in statistical modeling, and is a burgeoning skill among financial analysts.

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