Today, Sim is applying those lessons as a quantitative researcher at Citadel, where he develops and refines predictive models aimed at getting out ahead of market trends. Codifying complicated investment decisions into algorithms is a challenging process, Sim said, and he often must return to the drawing board and keep working at a model until it achieves performance goals. The iterative nature of his work fuels his passion for research and discovery, and Sim’s competitive nature drives him to continue working to achieve better results.
The marriage of theoretical training and practical applications offered by the master’s program has proven to be ideal preparation for the complicated challenges Sim encounters on a daily basis. Finance, like many fields, has changed dramatically due to the increasing prevalence of automation, so it will be critical for future financial analysts to have the cutting-edge computational skills to succeed in careers that continue moving farther from the realms of investment banking tradition.
“The days of shouting over competing traders or getting trampled on the exchange floor are over,” he said. “For me, the world of quantitative finance has been a really good fit. I enjoy working with colleagues to think through these complex problems, in a way that is very similar to what’s done in academia, and conducting research toward a very practice goal.”