Profile evaluation for Fall 2025

Joined
12/13/23
Messages
4
Points
3
Hello,
My daughter is interested in applying to MFE/MSCF , Currently she is doing a double major in Maths and Economics (3rd year) with a Cumulative GPA of 4.0 and is studying in an liberal arts college in the USA known for its academic rigours. So far she has studied:
Micro Economics
Macro Economics
Econometrics (in R and STATA); OOP, Data Structures, and Algorithms (Java);
Applied Game Theory;
Discrete Bridges to Advanced Mathematics:
Calculas
Graph Theory; Differential Equations ,
Real analysis,
Machine Learning,
Probability and statistics,
Finance,
Operations research,
Pricing and hedging,
Derivatives &
Linear Algebra.
She also has working knowledge or R and Python.

The only thing she is lacking is a good internship.
can anyone suggest if these credentials are good enough to get into the CMU MSCF program or any other top Financial Engineerings/Mathematical finance programs?
 
Thanks a lot Andy and Paul for taking some valuable time of yours and imparting your valuable advise.
 
She would need to take some C++ courses to get ready for MFE and internship interviews.
The C++ courses we have here are highly relevant and have been used by applicants to get into Baruch, CMU and other top MFE program.s
Hello Andy & Paul,
The below is the CV of my daughter and currently she is preparing to apply to Georgia tech, UChicago, NC state, Cornell and CMU for MFE or the ones ranked in quantnet.
can you advise if these credentials are good enough to get into the CMU MSCF program or any other top Financial Engineerings/Mathematical finance programs? She has'nt yet taken a GRE(Probably in mid of Oct)

Reply

Grinell College: Bachelor of Arts, Mathematics and Economics Expected May 2025 • Selected Coursework: Differential Equations; Linear Algebra; Statistical Modeling (in R); Microeconomic Analysis; OOP, Data Structures, and Algorithms (in Java); Applied Game Theory; Econometrics (in R) • Cumulative GPA: 4.0

London School of Economics and Political Science London, United Kingdom General Course (Study Abroad) September 2023—May 2024 • Selected Coursework: Principles of Finance; Derivatives; Machine Learning; Introduction to Pricing, Hedging and Optimization; Operations Research Techniques

Courses and Certificates • IBM Data Science Professional Certificate (in Python & SQL), In Progress August 2023—Present • Harvard Business School Online CORe: Credential of Readiness June—September 2022

Relevant Experience M&A and Transactions Advisory Intern Dubai, United Arab Emirates Grant Thornton June—August 2024 • Prepared and analyzed historical and projected financial statements; contributed to the development of DCF models; conducted comprehensive market research to support valuation engagements across various sectors • Conducted comprehensive financial statement analysis, prepared databooks, and developed Q&A materials for client meetings, providing actionable insights for transaction execution
Consultant London, United Kingdom 180 Degrees Consulting, LSE Branch January—May 2024 • Conducted in-depth research into sustainable fundraising strategies (digital and corporate partnerships) and performed for each a market sizing to estimate potential revenue projections for a human rights nonprofit
Research Assistant Grinnell, United States Economics Department, Grinnell College August 2022—May 2023 • Co-authored a paper on the impact of take-home exams on students’ conceptual understanding of intermediate microeconomics to publish in Fall 2023 • Analyzed raw data of 130+ students to determine causal and correlational relationships between student performance and metrics measuring preparation, confidence, and time management using Stata • Designed and developed poster in LaTeX to present at the ASSA 2023 Annual Meeting
Projects Prediction Challenge (in R) London, United Kingdom ST310 Machine Learning, London School of Economics January 2024 • Fine-tuned and optimized machine learning models, including boosted trees for large-scale regression, lasso regression for high-dimensional data, and random forests for classification • Utilized grid search and cross-validation to identify optimal hyperparameters, achieving an 85th percentile performance relative to peers Spousal Education Gap and Intimate Partner Violence in India (in R) Grinnell, United States ECN 286 Econometrics, Grinnell College September—December 2022 • Investigated the spousal education gap and key socio-economic determinants of intimate partner violence (IPV) against women in India, using 2019-2021 DHS data to address conflicts in existing literature • Developed a logistic multivariate regression model to assess the impact of spousal education differences on IPV, controlling for socio-economic and cultural factors • Concluded that the spousal education gap does not significantly affect IPV risk, but that education attainment for men does, supporting policies focused on improving education access for women and men
Computational Skills Programming Languages: R, LaTeX, Excel, Python, Java, C

Thanks a lot
 
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