Let me begin with stating what Computational Finance is and my perspective about it. If I had to explain it in one sentence, I would say it’s an interdisciplinary course aimed at solving financial problems using computational and mathematical modelling.
I feel I have very specific reasons to go ahead with pursuing this course. Just after completing my bachelor’s degree, I had started my career as a Software Developer in a Financial Derivatives Exchange, and it was here that I discovered by interest in the financial world and how everything works in it. In addition to that, I have always been driven by solving mathematical equations, problems, and writing programs to solve logical problems. During my work in the Exchange, I realized that mathematics is the backbone of the financial industry. As in all things in the world, one thing remains constant: mathematics correlates to everything and that includes finance, stats, charts, trends, analysis…the list goes on! When you blend this mathematical knowledge with its computational aspect, it becomes a superpower. I believe that the beauty of this course lies in its perfect blend of finance, mathematics, and programming.
I understand all of these might sound really daunting, but it’s not! You will get to work with some of the brightest minds in the world when you pursue a career like this, and the monetary rewards are no secret.
Pursuing this master’s also aligned with my career goals as I wanted to transition to a career as a Quant (Quantitative Researcher/Developer/Analyst). I wanted to learn from the best and King’s has some of the best professors who have been working in this field for years.
I would like to end this blog by saying that Computational Finance is a niche field. It allows me to master the right combination of subjects to pave my path in the financial world as a Quant, and at the same time, it opens doors for a career in the rising Fintech industry.