- Joined
- 5/26/23
- Messages
- 2
- Points
- 11
Hi everyone,
I’m wondering if anyone has insights on whether recruiters exclusively prefer the renowned MSc in Mathematics & Finance for quant trading roles, or if having the Imperial College brand name combined with a quantitative discipline (such as Statistics, as mentioned above) would still be enough to get my foot in the door?
For context, I consider myself an average candidate. I completed my undergraduate degree in Finance and Accounting at a mid-tier university in Japan, with a CGPA of 3.4/4.0. While my academic record isn’t particularly strong, I do have solid internship experiences with strong brand names that heavily involved programming - specifically, Sales and Trading at Nomura, and Analytics and Modelling at BlackRock.
Additionally, I’ve taken multiple programming and machine learning courses; however, my degree isn’t officially STEM-related, and the course names on my transcript don’t fully reflect my programming or math abilities (most of my learning came through self-study or MOOCs). My thought is that if I can get into a quantitative discipline at Imperial, I could still leverage networking opportunities to work my way up with the brand name.
Any advice or perspectives would be greatly appreciated!
I’m wondering if anyone has insights on whether recruiters exclusively prefer the renowned MSc in Mathematics & Finance for quant trading roles, or if having the Imperial College brand name combined with a quantitative discipline (such as Statistics, as mentioned above) would still be enough to get my foot in the door?
For context, I consider myself an average candidate. I completed my undergraduate degree in Finance and Accounting at a mid-tier university in Japan, with a CGPA of 3.4/4.0. While my academic record isn’t particularly strong, I do have solid internship experiences with strong brand names that heavily involved programming - specifically, Sales and Trading at Nomura, and Analytics and Modelling at BlackRock.
Additionally, I’ve taken multiple programming and machine learning courses; however, my degree isn’t officially STEM-related, and the course names on my transcript don’t fully reflect my programming or math abilities (most of my learning came through self-study or MOOCs). My thought is that if I can get into a quantitative discipline at Imperial, I could still leverage networking opportunities to work my way up with the brand name.
Any advice or perspectives would be greatly appreciated!