- Joined
- 12/8/18
- Messages
- 1
- Points
- 11
I just got back from the GMAT test.
Unsure if my stats are good for these schools, because they don't show stats much.
Background
Unsure if my stats are good for these schools, because they don't show stats much.
Background
- Work experience:
- 3-month internship at nameless tech startup - first marketing hire
- Indie marketing contractor for a few other startups, including one SaaS for databases, one SaaS for venture capital management, and one marketing agency
- 1 year marketing role & 5-month data role at top US startup in equity crowdfunding, team member number 10th
- Extra curriculars:
- Volunteer at largest Europe tech event
- Volunteer at 500 Startups (advising one portfolio company)
- Undergrad school/major:
- Top business university in the Nordics
- Major: international business; Minor: finance
- I haven't graduated yet, but will graduate in July 2019
- Other education/coursework:
- A lot of Coursera specializations (specialization = group of many courses with one capstone project)
- DataCamp's data scientist track
- Race/nationality: Asian
- Sex: M - 22 yo
- GMAT Score (include breakdown!): 740 (Q50 - V40 - IR6, don't know AW yet)
- Undergrad GPA: 4.33 over 5.00 or 3.46 over 4.00 (top 10% of class) - I haven't graduated yet, but will graduate in July 2019
- Goal: short: work in fintech and build a financial AI of sorts, long: perhaps PhD in computational neuroscience or found a company
- Target schools (not in order)
- Joint MSc Quant from ETH Zurich & Uni of Zurich (UZH - Master of Science UZH ETH in Quantitative Finance)
- MSc Quant from EPFLausanne (MFE Admissions – SFI)
- MSc Computational Finance at Carnegie Mellon (Admissions - Master of Science in Computational Finance - Carnegie Mellon University)
- MSc Risk Management or Fintech at Imperial College (MSc Risk Management & Financial Engineering)
- MSc Financial Engineering at Nanyang Tech (MSc Financial Engineering)