What Does a Financial Data Scientist Do?
Financial data scientists use algorithms, coding, and really hard math to analyze huge sets of data. They look for trends and patterns to help with financial management. They help you see into the future or go through lots of data to find important information for making good decisions.
How to Become a Financial Data Scientist?
Knowing how to use advanced programming languages like Python and R is important. These languages help people work with data, make graphs, and do detailed statistical analysis, even using fancy techniques.
In financial data science, it’s helpful to like the finance world and be good with technology. This helps you understand the tricky parts of the financial market and find useful insights from lots of financial data.