- Joined
- 7/19/21
- Messages
- 10
- Points
- 11
Hello!
I'm an international applicant from India and I will be applying during the 2022-2023 cycle. I'm currently looking at Quantitative/Computational Finance M. Sc. degrees in the US and UK. I am a final-year B. Sc. Statistics student. My current CGPA is 9.44 and I'm sure I can bump it to a 9.5 before applying. I am going to give the GMAT in a couple of months and I'm expecting a 720+ score. I took a mock test before starting my prep that put me in the 670-700 range. I have taken Calculus, Linear Algebra, and Differential Equations courses, and also a Investment Analysis and Portfolio Management elective in my fourth semester. I have experience with Machine Learning and intermediate knowledge of python. Basic knowledge of MS SQL and Java.
Rough Summary of the rest of my profile:
Certifications:
NISM Research Analyst
(This exam is a required certification for Equity Research Analysts and includes the basics of securities and analysis.)
Data Science and Machine Learning Bootcamp- Udemy
(I'm pretty sure this won't have much impact but just adding it in.)
Internships:
Data Engineering Intern at a midsize IT Services company that's based in the US. A great relationship with my manager and expecting a stellar LOR. Currently working on an ML Project.
Market Research and Social Media Marketing Intern at a small start-up.
Extra-Curriculars:
Mathematics Tutor at an NGO
Teach for India Campus Chapter Leader
Leadership position in a college fest
Other Components of my App:
I'm expecting average to good LORs from my teachers and a glowing one from my current manager. I am also confident in my ability to write great SOPs and Essays.
Target Programs:
M. Sc. Quant Finance at Rutger's, USA
Master's in Financial Engineering at University of Reading, UK
MS in Mathematical Finance & Financial Technology at Boston University, USA.
Reach Programs:
M. Sc. Computational Finance at CMU, USA
M. Sc. Mathematical and Computational Finance at Oxford, UK
M. Sc. Financial Economics at Columbia, USA
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I'd appreciate any feedback about my profile and choice of programs. I'm aware that my application might not be the strongest so I am currently working on some projects related to FinTech and looking for research internships.
I forgot to mention, I'm not going to apply to any safeties. If I don't get in, I'll gain some work ex and re-apply. This is a huge financial commitment for me and my family + the job scenario for intls isn't great so I don't want to attend a lower ranked school and risk not getting a good job that will help me pay back my loans.
I'm an international applicant from India and I will be applying during the 2022-2023 cycle. I'm currently looking at Quantitative/Computational Finance M. Sc. degrees in the US and UK. I am a final-year B. Sc. Statistics student. My current CGPA is 9.44 and I'm sure I can bump it to a 9.5 before applying. I am going to give the GMAT in a couple of months and I'm expecting a 720+ score. I took a mock test before starting my prep that put me in the 670-700 range. I have taken Calculus, Linear Algebra, and Differential Equations courses, and also a Investment Analysis and Portfolio Management elective in my fourth semester. I have experience with Machine Learning and intermediate knowledge of python. Basic knowledge of MS SQL and Java.
Rough Summary of the rest of my profile:
Certifications:
NISM Research Analyst
(This exam is a required certification for Equity Research Analysts and includes the basics of securities and analysis.)
Data Science and Machine Learning Bootcamp- Udemy
(I'm pretty sure this won't have much impact but just adding it in.)
Internships:
Data Engineering Intern at a midsize IT Services company that's based in the US. A great relationship with my manager and expecting a stellar LOR. Currently working on an ML Project.
Market Research and Social Media Marketing Intern at a small start-up.
Extra-Curriculars:
Mathematics Tutor at an NGO
Teach for India Campus Chapter Leader
Leadership position in a college fest
Other Components of my App:
I'm expecting average to good LORs from my teachers and a glowing one from my current manager. I am also confident in my ability to write great SOPs and Essays.
Target Programs:
M. Sc. Quant Finance at Rutger's, USA
Master's in Financial Engineering at University of Reading, UK
MS in Mathematical Finance & Financial Technology at Boston University, USA.
Reach Programs:
M. Sc. Computational Finance at CMU, USA
M. Sc. Mathematical and Computational Finance at Oxford, UK
M. Sc. Financial Economics at Columbia, USA
-------------------------------------------------
I'd appreciate any feedback about my profile and choice of programs. I'm aware that my application might not be the strongest so I am currently working on some projects related to FinTech and looking for research internships.
I forgot to mention, I'm not going to apply to any safeties. If I don't get in, I'll gain some work ex and re-apply. This is a huge financial commitment for me and my family + the job scenario for intls isn't great so I don't want to attend a lower ranked school and risk not getting a good job that will help me pay back my loans.