Automation in the Finance Industry
The SGX project is focused on the process of collection of data from both mainstream and social media sources, in efforts to help investors stay on top of the latest industry developments, thereby allowing them to predict future market movements more accurately. In light of SGX’s present system which requires human intervention to manually sift through various new sources to determine the inputs for their forecast, the SGX project provided a platform for students to develop an innovative proposal - to convert the semi-automated revenue prediction process to a fully automated one - with the aims of streamlining the process and eliminating the human judgment bottleneck. Central to the development of this proposal was the students’ self-learning process, in which they were provided with a wide range of resources along with advices from their SGX mentor.
Through the project, students were able to break out of their comfort zones and learned how to best manage different commitments and expectations from different parties. Further, due to the restrictions brought about by Covid-19, students were also able to quickly adapt and explored new ways to explain their findings to their absence in the absence of in-person demonstrations. Through their hard work and consultations with their mentor, the project team was able to devise a standard operating procedure that helped to reduce total man-hours and improve the process accuracy of SGX’s systems over time.
Impressed with the students’ efforts and hard work, the team’s mentor, SGX Assistant Vice President Mr Sohel Arnool said, “We found it very impressive that the students could understand the requirement and implement it in such a short time. It was truly wonderful to see how the team divided the work amongst them so that each can give his or her maximum capacity. A great illustration of teamwork!"