What are the skills required to become a Quant as physics PhD?

In summary, the speaker is a second year PhD student in physics, specialized in observation cosmology. They have been considering a career change to become a quant on Wall Street and are wondering if their current research skills will be enough to make the transition or if they should learn new skills on their own. They are also interested in the working environment of quant jobs and the possibility of getting a job in NYC. They are seeking advice on whether they should continue with their current research or switch to a program that will better prepare them for a career in finance.
  • #1
brianwang76
2
0
First of all I read a lot info from post by twofish-quant but I am not sure if its outdated already.

So I am currently in the second year of my grad school (PhD program) in physics, specialized in observation cosmology (galaxy survey aiming at Dark Energy/inflation/BAO/...). As much as I like studying physics and learn things about the universe, I start to think that the path of research didn't really fit me, as I am not dedicated enough to stay sharp in academia, and the field is extremely saturated already. Then I learned that people having physics PhD go to wall st and become quant, and many of them were either in theoretical physics or have skills in simulations/computing/machine learning/datamining...etc.

My research on the other hand, mainly involves image reduction, possibly some simulations but not much and further data reductions for scientific results. We also build detectors and telescopes (an observation project completely by ourselves). I feel like I will be using some pythons and a bit c++ and that's pretty much it, but I may be wrong. If that's the case though, would I be able to learn basic required skills to apply for quant when I graduate? Or is it possible to learn by myself through the years and then apply for one? I am not sure to what extent my research will lead me in terms of coding and modeling but I am a bit worried that this might not be the field I am specialized in.

I guess the primary reason for me to be interested in quantitative analysist is that I read that (from physics forum) the working environment is very similar to academia, and its centered in NYC. I really, really hope I can get a job in NYC for at least a few years. (I know, this reason sounds silly). I kind of like the current project I am working on with and the advisor is fantastic. I am not sure if the skills can't be obtained, is it worth it to go to other projects. So just to ask my question again, would I be able to learn basic required skills to apply for quant when I graduate in my research field? Or should I learned it by myself in these few years?
Thanks for this ignorant questions!
 
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  • #2
brianwang76 said:
First of all I read a lot info from post by twofish-quant but I am not sure if its outdated already.

So I am currently in the second year of my grad school (PhD program) in physics, specialized in observation cosmology (galaxy survey aiming at Dark Energy/inflation/BAO/...). As much as I like studying physics and learn things about the universe, I start to think that the path of research didn't really fit me, as I am not dedicated enough to stay sharp in academia, and the field is extremely saturated already. Then I learned that people having physics PhD go to wall st and become quant, and many of them were either in theoretical physics or have skills in simulations/computing/machine learning/datamining...etc.

My research on the other hand, mainly involves image reduction, possibly some simulations but not much and further data reductions for scientific results. We also build detectors and telescopes (an observation project completely by ourselves). I feel like I will be using some pythons and a bit c++ and that's pretty much it, but I may be wrong. If that's the case though, would I be able to learn basic required skills to apply for quant when I graduate? Or is it possible to learn by myself through the years and then apply for one? I am not sure to what extent my research will lead me in terms of coding and modeling but I am a bit worried that this might not be the field I am specialized in.

I guess the primary reason for me to be interested in quantitative analysist is that I read that (from physics forum) the working environment is very similar to academia, and its centered in NYC. I really, really hope I can get a job in NYC for at least a few years. (I know, this reason sounds silly). I kind of like the current project I am working on with and the advisor is fantastic. I am not sure if the skills can't be obtained, is it worth it to go to other projects. So just to ask my question again, would I be able to learn basic required skills to apply for quant when I graduate in my research field? Or should I learned it by myself in these few years?
Thanks for this ignorant questions!

you may want to get on a website such as wilmot forum or quantnet.
I don' t know how flexible your program is if you can look up a MFE curriculum program, you should be able to identify the skills you need to work in finance.

by the way, if you don't need a PhD to work in quantitative finance, how about you free up that parking spot for someone else? lol
 

FAQ: What are the skills required to become a Quant as physics PhD?

1. What specific skills do I need to become a Quant as a physics PhD?

The most important skills for becoming a Quant as a physics PhD include strong mathematical and programming abilities, as well as proficiency in statistics and data analysis. Additionally, knowledge of financial markets and economics is crucial for success in this field.

2. Is a physics PhD necessary to become a Quant?

While a physics PhD is not a requirement for becoming a Quant, it can be highly beneficial. The rigorous training in mathematical modeling and analytical thinking that is gained through a physics PhD program can provide a strong foundation for quantitative finance work.

3. Are there any specific programming languages I need to know to become a Quant?

The most commonly used programming languages in quantitative finance include Python, R, and C++. However, as a physics PhD, you may already have experience with other programming languages that can easily be applied to this field.

4. What other skills besides technical ones are important for a career as a Quant?

In addition to technical skills, strong problem-solving abilities, attention to detail, and the ability to work well under pressure are important qualities for a successful Quant. Good communication skills and the ability to work in a team are also valuable in this field.

5. Are there any additional courses or certifications I should pursue to become a Quant?

While not required, completing courses or certifications in finance, economics, or risk management can demonstrate your interest and knowledge in these areas and make you a more competitive candidate for Quant positions. Additionally, attending conferences or workshops related to quantitative finance can also help expand your knowledge and network in the field.

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