Python and SQL are two of the most popular programming languages used in the tech industry, including on Wall Street, due to their versatility and applicability to various tasks.
C++ remains relevant in the financial sector, particularly for high-frequency trading firms and exchanges where speed and control over hardware are crucial.
Tableau and Power BI are essential for data visualization in wealth management and data analysis roles on Wall Street.
Java, known for its security features and portability, is widely used by big banks and some buy-side firms.
Rust and Go, open-source languages, are increasingly in demand for app development in fintechs and banks, with companies like Blackrock and Stash adopting them.
Python is considered essential for data science and machine learning roles, offering a wide range of applications across finance firms.
SQL is crucial for working with databases and querying information, making it a common requirement in almost every financial firm.
Having expertise in C++ is beneficial for roles requiring low-latency applications, such as high-frequency trading, where speed is a competitive advantage.
Software advancements like C++26 and the move towards languages like Rust are shaping the tech landscape in finance, emphasizing the need for curiosity and adaptability in programming skills.
Understanding different programming languages is crucial for tech job seekers on Wall Street, with recruiters and industry insiders highlighting the importance of knowing languages like Python, SQL, C++, Java, Rust, and Go.