- Joined
- 8/29/25
- Messages
- 1
- Points
- 1
Hello everyone, I’m planning to apply for Fall 2026 MFE programs and would appreciate feedback on my profile.
Education:
Education:
- B.E. Chemical Engineering, Minor in Finance – BITS Pilani (GPA: 8.8/10)
- Cleared CFA Level I
- GMAT Focus: Quant full score
- GRE (planned): Targeting Q170
- Calculus & Vector Analysis – A-
- Linear Algebra & Complex Analysis – B (COVID semester)
- Probability & Statistics – B (COVID semester)
- Differential Equations & Applied Analysis – A-
- Computer Programming in C – C (but since then, extensive Python work experience)
- Managed cross-currency intraday liquidity risk (USD/GBP/EUR/JPY) for $200B+ daily flows
- Built stress testing models (COVID, SVB, Credit Suisse scenarios) for liquidity buffers
- Automated regulatory/risk reporting (LCR, NSFR, ILST) using Python, SQL, VBA, Tableau
- Developed macroeconomic monitoring tools (Fed/ECB/BoE/BoJ balance sheets, debt ceiling scenarios)
- Peer benchmarking of issuance/redemption patterns (Bloomberg) for funding decisions
- Designed Tableau dashboards for intraday limits (500+ hrs saved/yr); automated Snowflake + Python pipelines (300+ hrs/yr)
- Conducted technical interviews for analyst candidates for US team
- Given my C in C-programming, do I need to demonstrate stronger C++ expertise before applying (e.g., QuantNet C++ course, projects)?
- With A-/B grades across math coursework, should I also show additional math expertise (e.g., Real Analysis, advanced probability) to strengthen my application?
- Beyond coding/math, is there anything else I should improve in my profile to be competitive for top MFEs?
- Overall, is this profile competitive for CMU MSCF, Berkeley MFE, NYU Courant, Baruch, Columbia, and Princeton (MFin)?