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Greetings!
I am a prospective candidate from India planning to apply for MFE 2026 applications. With only 4 months left before deadlines begin, I wanted to share my profile and ask for any suggestions to improve it. I have reviewed profiles on Tracker and LinkedIn, but would really appreciate a second opinion.
Education/Exams:
Experience:
Currently working in a strats role at Goldman Sachs (mostly analytics-focused). By December, I’ll have ~1.5 years of experience.
I had considered cold-emailing for a quant finance research project or publication but believe this may not be permitted while employed at GS.
Motivation:
I aim to transition into quantitatively rigorous roles at buy-side firms. While I’m aware that quant research is competitive and often PhD-leaning, I believe an MFE can help me build the right industry-focused skill set and position me for such roles.
Target Schools:
1. Princeton MFin
2. CMU MSCF
3. UC Berkeley MFE
4. MIT MFin
5. Columbia MSFE
6. Cornell CFEM
7. Georgia Tech QCF
8. Oxford FinMath
Questions:
I am a prospective candidate from India planning to apply for MFE 2026 applications. With only 4 months left before deadlines begin, I wanted to share my profile and ask for any suggestions to improve it. I have reviewed profiles on Tracker and LinkedIn, but would really appreciate a second opinion.
Education/Exams:
- Graduated from one of the top 7 IITs in 2024 with a major in Engineering Physics ( CGPA: 9.23/10 ~ 3.7/4, Department Rank - 2/60 ) and a minor in Mathematics.
- Relevant Coursework: ( AA - 10/10 )
- Finance/Applied Math: Game Theory (AB), Economics (AB), Applied Time Series (AA), Numerical Lin Alg (AA), Math Fin (AA), Adv Topics in ML (Audit)
- Math-focused: Lin Alg/ODE/PDE (AB), Calculus (BC), Measure Theory (AA), Prob Stats (CC - strict grading, top grade was BC), Scientific Computing (AS - above AA), Modern Algebra (AA), Differential Geometry (AA)
- BTP Phase I: Phase transitions in Financial Markets using Ising Model
- BTP Phase II: Regime detection using sliced Wasserstein clustering
- GRE: 328 ( Q169; V159; AW: 4 )
- Passed CFA Level I
Experience:
Currently working in a strats role at Goldman Sachs (mostly analytics-focused). By December, I’ll have ~1.5 years of experience.
I had considered cold-emailing for a quant finance research project or publication but believe this may not be permitted while employed at GS.
Motivation:
I aim to transition into quantitatively rigorous roles at buy-side firms. While I’m aware that quant research is competitive and often PhD-leaning, I believe an MFE can help me build the right industry-focused skill set and position me for such roles.
Target Schools:
1. Princeton MFin
2. CMU MSCF
3. UC Berkeley MFE
4. MIT MFin
5. Columbia MSFE
6. Cornell CFEM
7. Georgia Tech QCF
8. Oxford FinMath
Questions:
- Does this list seem too ambitious?
- Specifically for UCB MFE, round 3 deadline is on 5th June 2025. I have yet to take TOEFL. Is it better to take some time and apply during round 4 instead (deadline 1st October).
- Are there specific areas where I should focus my efforts over the next few months to strengthen my profile?
- I had a CC in Probability & Statistics and a BC in Calculus, both early in undergrad. Would these be concerning, or can later strong performance offset them? (I haven’t included Baruch, since I wouldn’t meet their prerequisites.)
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