MFE or STEM

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What’s the best way to enter into the hedge fund and quant fund industry?
I read a lot about how its highly advantageous to have a phd in math or physics or cs or statistics. Mfe sounds great too, learn quantitative finance and work on what you’ve learned.
Can the experienced quants weigh in on this?
 
Did you make this post after reading this on the front page?

Either ways, what do you mean "enter into hedge fund and quant fund industry" ? Enter the industry to do what exactly? You want to be the Risk officer on the buy side? A trader? A Portfolio Manager ? A researcher? An Operations Analyst?

Depending on what you want to do the answer will vary. Main question is what exactly you want to do once you have entered "into the hedge fund and quant fund industry"
 
What’s the best way to enter into the hedge fund and quant fund industry?
I read a lot about how its highly advantageous to have a phd in math or physics or cs or statistics. Mfe sounds great too, learn quantitative finance and work on what you’ve learned.
Can the experienced quants weigh in on this?

0. Numerate/STEM PhD
1. MS Physics + Knowing how to program + financial market project
2. MS Statistics + Knowing how to program + financial markets project
3. Econometrics + Knowing how to program + rigorous math classes
4. MFE if top ranked
5. MFE if not top ranked
 
0. Numerate/STEM PhD
1. MS Physics + Knowing how to program + financial market project
2. MS Statistics + Knowing how to program + financial markets project
3. Econometrics + Knowing how to program + rigorous math classes
4. MFE if top ranked
5. MFE if not top ranked

Rank 0 for a phd? Wow! And is Mfe really that bad? Also can you suggest some good Applied Math phd programs?

Thanks!
 
Did you make this post after reading this on the front page?

Either ways, what do you mean "enter into hedge fund and quant fund industry" ? Enter the industry to do what exactly? You want to be the Risk officer on the buy side? A trader? A Portfolio Manager ? A researcher? An Operations Analyst?

Depending on what you want to do the answer will vary. Main question is what exactly you want to do once you have entered "into the hedge fund and quant fund industry"

I want to work as a Trader.

I have read that post. And what it conveyed is a phd is not a necessity. But that doesn’t mean that a phd is not useful. A typical phd holder would be an expert in their area of research.
I personally love math and physics and financial markets too. I’d be excited to put in the hours in learning new things and testing in math and physics. But I don’t see myself dedicating my life to research in those fields though.
I want to make a career in financial markets. Work with some of the smartest minds against some of the smartest.
The pathway for me is just not clear enough as of now.

So what’s your take on this now?
Thanks
 
Rank 0 for a phd? Wow! And is Mfe really that bad? Also can you suggest some good Applied Math phd programs?

Thanks!
bad habit of considering arrays starting with an index 0. it just means it's most important, ordinally. you can think of the list as 1-6 if that's better.
 
I want to work as a Trader.

I have read that post. And what it conveyed is a phd is not a necessity. But that doesn’t mean that a phd is not useful. A typical phd holder would be an expert in their area of research.
I personally love math and physics and financial markets too. I’d be excited to put in the hours in learning new things and testing in math and physics. But I don’t see myself dedicating my life to research in those fields though.
I want to make a career in financial markets. Work with some of the smartest minds against some of the smartest.
The pathway for me is just not clear enough as of now.

So what’s your take on this now?
Thanks

Some posts on here are very old, like the one you mentioned. Every geographic market will have its preference. There's also this front- middle-, and back-office separation. Just those to factors alone cement that fact that a PhD (in any field) isn't necessary, and doesn't give multiple times more of an advantage to any/every Quant analyst role. If you want to be in the US market, on the East Coast, and be in certain types of roles, then yes go build an academic castle with amazing practical projects as your moat. If you have less restrictions and don't need to always be in the best of everything, then other options abound. Aim high, and then find something else. Many of the 195 countries in the world have an need quant analyst. They aren't all run by someone from IT or Cambridge, and don't only hire PhDs. They can't all wait for students from Baruch and Berkeley. The "smartest" don't all come from these schools. Smart relates to the application of things you learn, and math, stat, physics, etc are the same subject anywhere you learn them. There are smart people to work with all over. Aim high, and then look elsewhere if it doesn't work out.
 
Some posts on here are very old, like the one you mentioned. Every geographic market will have its preference. There's also this front- middle-, and back-office separation. Just those to factors alone cement that fact that a PhD (in any field) isn't necessary, and doesn't give multiple times more of an advantage to any/every Quant analyst role. If you want to be in the US market, on the East Coast, and be in certain types of roles, then yes go build an academic castle with amazing practical projects as your moat. If you have less restrictions and don't need to always be in the best of everything, then other options abound. Aim high, and then find something else. Many of the 195 countries in the world have an need quant analyst. They aren't all run by someone from IT or Cambridge, and don't only hire PhDs. They can't all wait for students from Baruch and Berkeley. The "smartest" don't all come from these schools. Smart relates to the application of things you learn, and math, stat, physics, etc are the same subject anywhere you learn them. There are smart people to work with all over. Aim high, and then look elsewhere if it doesn't work out.

Certainly helps! I do want to work in US markets.( prefer east coast but I don’t mind west too). Thanks a ton for your time!
 
0. Numerate/STEM PhD
1. MS Physics + Knowing how to program + financial market project
2. MS Statistics + Knowing how to program + financial markets project
3. Econometrics + Knowing how to program + rigorous math classes
4. MFE if top ranked
5. MFE if not top ranked

Also, how does an MS in Applied Math fit in here?
 
Also, how does an MS in Applied Math fit in here?

A Mathematician would say that Statistics and Physics are applied mathematics.

An Applied Math major is just 70% Math 30% Electives with proper math content. For example Operations Research, Demography, Equilibrium models, might all fit. It's just Math with an emphasis on whatever you want. Math as a major is underrated everywhere. Therefore, taking right electives in Applied Math would exposed you to the terminology and "applications" of math you've learned already. Majoring in Math/Applied Math means you'll pass through the usual 3 levels of Calculus, and take 1-2 classes on Linear Algebra, and another 1-2 on Differential Equations (partial or otherwise). In the financial markets topics, you'll find those subject as the basis or core of what's used within financial modeling. Derivatives Pricing, Stochastic Calculus, Interest Rate Modeling, and Portfolio Theory all build on pure Math topics (with Prob and Stat of course).
 
0. Numerate/STEM PhD
1. MS Physics + Knowing how to program + financial market project
2. MS Statistics + Knowing how to program + financial markets project
3. Econometrics + Knowing how to program + rigorous math classes
4. MFE if top ranked
5. MFE if not top ranked

I think the most in demand non MFE degrees would be CS, stats, machine learning, or applied math. If they wanted someone to take a longer view on they’d just hire a PhD so anything less and you’d have to make yourself useful right away (coding and data skills)
 
0. Numerate/STEM PhD
1. MS Physics + Knowing how to program + financial market project
2. MS Statistics + Knowing how to program + financial markets project
3. Econometrics + Knowing how to program + rigorous math classes
4. MFE if top ranked
5. MFE if not top ranked

6. MSc Mathematics (Applied, Numerical). Physics is fine if you want to do physics but it is not maths.

'Numerate' is very general.
 
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