🎓 Admissions & Applications Get expert advice on how to craft the perfect application. From program comparisons to personal statements, this section covers everything you need to know before hitting "submit."
Program Reviews & Comparisons
First-hand experiences and side-by-side comparisons of top quant master's programs.
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Application Questions & Strategy
Essays, LORs, SOPs, resume critiques—ask questions and get feedback.
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🌍 Quant Programs by Region Explore quant programs by region to find your best academic fit.
United States
Discuss top U.S. programs like Baruch, CMU, Princeton, and more.
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Canada
Talk about Waterloo, U of Toronto, UBC, and the Canadian quant landscape.
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United Kingdom & Europe
Share insights on Imperial, Oxford, UCL, Warwick, ETH Zurich, HEC Paris, etc.
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Asia & Australia
Dive into NUS, NTU, HKU, Tsinghua, UNSW, and others in the Asia-Pacific region.
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🛠️ Career & Industry Insights Turn your degree into a dream career. Understand the roles, prep for interviews, and get the latest on salaries.
Career Advice
Advice and tips on how to secure that critical internship
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Quant Interviews
Quantitative interview questions, brain teasers sortable by financial firms
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Quant Matters
Discuss things related to quantitative finance, financial engineering, etc
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Off topic
When unsure where your post belongs, post it here.
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🧠 Quant Skills & Prep Build the core skills top programs expect and employers demand.
Computing
Trading algorithm, C++, C#, Excel, VBA, Matlab, Python, S+, R programming
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Pricing, Modeling
Implement financial models from papers. Learn derivatives products and concepts.
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Finance and Risk Management Resources
Risk management related materials
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Books
Useful books or literature for quants
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Online Courses
C++ Programming for Financial Engineering
Course materials, video lectures, quizzes and homework discussions
Sub-forums:
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Latest reviews
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UZH ETH - MS in Quantitative FinanceI mostly agree with the previous two reviews in this thread, so I will write my review as an...- zivmi
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UZH ETH - MS in Quantitative FinanceThe program is overall well-rounded and fast-paced but very flexible. It can be finished in 3 to...- VolsOfSteel
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Columbia University - MA in Mathematics of Finance (MAFN)I think MAFN is good. The professors are responsible, and they try hard to build networks among...
- Anonymous
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UZH ETH - MS in Quantitative FinanceOverall I must say the program gives you a lot of flexibility in what you want to pursue. From...
- Anonymous
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University of North Carolina at Charlotte - MS in Mathematical FinanceI completed my M.S. in Mathematical Finance at UNC Charlotte in December 2024, and overall, I...
- Anonymous
Trending content
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Thread 'Master reading list for Quants, MFE (Financial Engineering) students'- Andy Nguyen
Replies: 307 -
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Latest profile posts
Hi Andy, could you please explain to me the advantage that a person with a stem-oriented phd would have that an MFE program couldn't provide.
Hi Andy,
I’m interested in pursuing an MFE and would value your perspective. My background: BA in Economics from the University of Washington, MBA from a non-target, 7 years of part-time military service, and 6+ years in the tech/financial space. Most recently, I’ve spent 3 years at a financial services company as a Product Manager on the Data team, building internal APIs and risk/data products.
I feel I’ve plateaued in product/risk roles, and believe an MFE would accelerate my pivot into quant finance or algo PM roles with stronger long-term growth. To prepare, I’m taking math (calculus, linear algebra, probability) and programming (Python, C++) part-time through UC Extension.
My concern is my non-STEM undergrad and nontraditional work experience. Do you think my leadership and product/risk background helps or hurts my chances at a top MFE? How can I best align myself for both admissions and careers afterward?
I’m interested in pursuing an MFE and would value your perspective. My background: BA in Economics from the University of Washington, MBA from a non-target, 7 years of part-time military service, and 6+ years in the tech/financial space. Most recently, I’ve spent 3 years at a financial services company as a Product Manager on the Data team, building internal APIs and risk/data products.
I feel I’ve plateaued in product/risk roles, and believe an MFE would accelerate my pivot into quant finance or algo PM roles with stronger long-term growth. To prepare, I’m taking math (calculus, linear algebra, probability) and programming (Python, C++) part-time through UC Extension.
My concern is my non-STEM undergrad and nontraditional work experience. Do you think my leadership and product/risk background helps or hurts my chances at a top MFE? How can I best align myself for both admissions and careers afterward?
Hi Andy,
I was wondering your thoughts on leveraging a Quant Masters program for more fundamental investing (whether L/S, PE, quantamental, etc.). I recently started a MS program, and want to stay on top of recruiting (especially since most MS/undergrad roles are closing or past the deadline, and I'm probably underqualified for MBA roles). I'm already on the CFA path & hoping to get involved with my school's FinTech & Investment Research programs - just trying to figure out the best way to get into (ideally) buy-side fundamental roles or adjacent.
I was wondering your thoughts on leveraging a Quant Masters program for more fundamental investing (whether L/S, PE, quantamental, etc.). I recently started a MS program, and want to stay on top of recruiting (especially since most MS/undergrad roles are closing or past the deadline, and I'm probably underqualified for MBA roles). I'm already on the CFA path & hoping to get involved with my school's FinTech & Investment Research programs - just trying to figure out the best way to get into (ideally) buy-side fundamental roles or adjacent.