Hey everyone,
I came across the MFE path recently and it definitely seems quite interesting for me based on my prior experience and quantitative background. However, I don't really have an idea of how competive my profile is considering I don't really have any formal finance coursework (though I have had a personal interest for years).
Education:
BS Mathematics and Computer Science and minor in Data Science; Top 30 Undergrad School in the US; top 10 Computer Science
3.8 GPA
Relevant Coursework:
data science intern (full time summer; 9 months part-time): Built LLM-based internal tools and agent workflows (GPT-4, function calling, etc.)
software engineer intern (3 months)
Research Experience
1 year at current lab; one mid-author publication at ACL (most prestigious conference for Natural Language Processing); current project full-time this summer (will end up as first-author publication)
1 year at previous lab; mid-author publication at another top general AI conference
Technical Skills:
Python, C++, Java, SQL, PyTorch, TensorFlow, Scikit-learn, HuggingFace, OpenAI API, Git, Docker
Questions:
I came across the MFE path recently and it definitely seems quite interesting for me based on my prior experience and quantitative background. However, I don't really have an idea of how competive my profile is considering I don't really have any formal finance coursework (though I have had a personal interest for years).
Education:
BS Mathematics and Computer Science and minor in Data Science; Top 30 Undergrad School in the US; top 10 Computer Science
3.8 GPA
Relevant Coursework:
- Math: Linear Algebra, Convex Optimization, Proof-based Probability Courses, Statistical Methods, Combinatorics, Abstract Algebra
- CS: Deep Learning, ML Algorithms (graduate-level) , Deep Reinforcement Learning, Theory of Computation, Algorithms, Advanced Data Structures, Recommender Systems
data science intern (full time summer; 9 months part-time): Built LLM-based internal tools and agent workflows (GPT-4, function calling, etc.)
software engineer intern (3 months)
Research Experience
1 year at current lab; one mid-author publication at ACL (most prestigious conference for Natural Language Processing); current project full-time this summer (will end up as first-author publication)
1 year at previous lab; mid-author publication at another top general AI conference
Technical Skills:
Python, C++, Java, SQL, PyTorch, TensorFlow, Scikit-learn, HuggingFace, OpenAI API, Git, Docker
Questions:
- I haven’t taken any finance coursework yet. Will that hurt me significantly for top MFE programs?
- If so, what’s the best way to fill that gap this summer (any recommended online courses or certs)?
- What MFE programs might I be competitive for given this background?
- How can I position my AI/ML research and work experience effectively in the context of quant finance?