5 Resources I'm Using to Transition to a Data Science Career in FinTech
Let me share 5 of the resources I’ll be using to switch careers to Data Science in the FinTech industry.
I left my job as a controls engineer in July.
On the surface, it was a great job. I was able to travel all over the country, I worked with a team of awesome guys, and I was earning good money for a twenty-five-year-old. The position even came with a “fun budget” perk that enabled me to do things like fly a helicopter over Baltimore, kayak on the crystal blue waters of Tulum, and hunt wild boars in the rolling hills of Santa Rosa.
But like many Americans part of the ongoing Great Resignation, I found myself reflecting on the path I was taking in my career. Even though I was extremely privileged to hold such a high-paying and rewarding position, I knew that I wouldn’t have been happy with my life if I continued down that path. I wasn’t truly passionate about the work I was doing. So I left.
During my last months at that job, I worked on several personal coding projects in my spare time. I was reading finance textbooks, studying online courses, and developing my own dashboards and web apps “for fun” (my girlfriend calls this being a workaholic, but I like being productive in my spare time).
By the time I left, I knew that I wanted to pursue a career that involved programming and finance, but I wasn’t sure whether to focus on software development or data science. I ultimately decided to pursue data science because of my penchant for data-driven decisions, problem-solving, and storytelling.
I want to share my transitional journey with you by sharing five resources that I will be leveraging to make a smooth career change into FinTech as a data scientist.