- Joined
- 9/23/24
- Messages
- 2
- Points
- 1
Hi Everyone!
I was wondering if I could get some feedback or an assessment on my background for MFE applications coming next year. Any help would be very much appreciated!
Target Programs (ranked by Preference):
1) Baruch MFE
2) Princeton MFin
3) CMU MS Comp. Finance
4) Imperial College MSc Math and Finance
Employment Background:
Completed internships as an:
- Equity research associate for a boutique remote firm, covering small-cap biotechs (4 mo.)
- Low MM Private Equity analyst for a boutique firm in Toronto (4 mo.)
- Investment Analyst for an institutional investment consulting firm in Toronto (4 mo.)
Full time employment history:
- Rotational Associate in the Market Risk division of a Big 5 Canadian bank. (1 yr.)
- Junior Trader for broker arm of Asset Mgmt. firm - Current
Education Background:
Graduated from a Canadian University in 2022 with an Honors in Financial Modelling, cGPA: ~76%, major GPA ~80%. Lower cGPA due to being enrolled in a Interdisciplinary Sciences program with Biology for my first two years.
Currently enrolled in a Canadian University, completing a BSc in Computer Science with a graduation date of August 2026. Completing courses in the evenings, allowing me to perform at my current role. cGPA 4.03/4.33 (All A's except B+'s in Unix and Data Structures - was feeling ill near the end of the summer)
Points of Weaknesses:
- My grades in Calculus, Probability, and Statistics hover around the mid/low 70s, I had taken a Probability and Stats course through my part time Comp Sci degree and earned an A+
- Withdrew from Real Analysis, due to health issues during COVID, took Discrete Math through my current part time Comp Sci degree and earned an A+
Points of Strength:
- Capital markets experience, in both a quantitative, qualitative/traditional, and execution capacity
- Strong academics across all financial modelling coursework, mid 80s/high 90s
- Personal projects in Python and C++, developing derivatives pricing engines and quantitate analysis libraries
Plan for Profile Improvement:
- Accepted and enrolled the Pre-MFE Stats and Probability seminar (planning to take all seminars if given the opportunity, prior to the application)
- Retake applied math and math courses from my previous Bachelors to show improvement in my quantitative abilities
- Started to volunteer at a scientific organization, will look into ways to further my engagement with org.
I was wondering if I could get some feedback or an assessment on my background for MFE applications coming next year. Any help would be very much appreciated!
Target Programs (ranked by Preference):
1) Baruch MFE
2) Princeton MFin
3) CMU MS Comp. Finance
4) Imperial College MSc Math and Finance
Employment Background:
Completed internships as an:
- Equity research associate for a boutique remote firm, covering small-cap biotechs (4 mo.)
- Low MM Private Equity analyst for a boutique firm in Toronto (4 mo.)
- Investment Analyst for an institutional investment consulting firm in Toronto (4 mo.)
Full time employment history:
- Rotational Associate in the Market Risk division of a Big 5 Canadian bank. (1 yr.)
- Junior Trader for broker arm of Asset Mgmt. firm - Current
Education Background:
Graduated from a Canadian University in 2022 with an Honors in Financial Modelling, cGPA: ~76%, major GPA ~80%. Lower cGPA due to being enrolled in a Interdisciplinary Sciences program with Biology for my first two years.
Currently enrolled in a Canadian University, completing a BSc in Computer Science with a graduation date of August 2026. Completing courses in the evenings, allowing me to perform at my current role. cGPA 4.03/4.33 (All A's except B+'s in Unix and Data Structures - was feeling ill near the end of the summer)
Points of Weaknesses:
- My grades in Calculus, Probability, and Statistics hover around the mid/low 70s, I had taken a Probability and Stats course through my part time Comp Sci degree and earned an A+
- Withdrew from Real Analysis, due to health issues during COVID, took Discrete Math through my current part time Comp Sci degree and earned an A+
Points of Strength:
- Capital markets experience, in both a quantitative, qualitative/traditional, and execution capacity
- Strong academics across all financial modelling coursework, mid 80s/high 90s
- Personal projects in Python and C++, developing derivatives pricing engines and quantitate analysis libraries
Plan for Profile Improvement:
- Accepted and enrolled the Pre-MFE Stats and Probability seminar (planning to take all seminars if given the opportunity, prior to the application)
- Retake applied math and math courses from my previous Bachelors to show improvement in my quantitative abilities
- Started to volunteer at a scientific organization, will look into ways to further my engagement with org.