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How to prepare for a quant job after doing a Ph.D. in physics (Quantum Information) ?
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<blockquote data-quote="ZFL" data-source="post: 276045" data-attributes="member: 40377"><p>Hi mate, I can talk a bit about my experience of switching to quantitative finance. Interesting enough, I spent two years on researching QKD for my Master's degree but went on to earn a PhD in semiconductor photonics.</p><p></p><p>To be honest, skills earned during quantum information research are not very applicable to finance. Hard quant positions require good coding skills, effective and efficient, and strong optimization/statistical/probabilistic/stochastic calculus knowledge. That's my impression. Many friends of mine who switched to finance had to really brush up coding skills and cram relevant knowledge + finance nomenclatures.</p><p></p><p>Therefore, it's good that you have been involved in machine learning projects and taking online courses. It would help open doors to data science positions in general. You background in MATLAB, Python and C++ seems okay too. If you already have experiences in some packages E.G CVX, sci-kit learn, you can strengthen/expand your understanding of the theoretical parts too. While programming in MATLAB, Python and C++ can be more of an art, SQL is really straightforward so you don't need to worry about that.</p><p></p><p>Forget about quantum machine learning/quantum cloud computing research experience. Many of my friends, myself included, would only LMAO. No offense to anyone's devotion. If you would like to be a professor, that's a different story. But I assume when you look to quant finance for career, you are realistic. Under current conditions, job markets seem much more turbulent but the majority in the field seems to be doing fine.</p><p></p><p>You haven't name any specific groups, departments or fields. To me, you look really good to get positions in market risk developers, credit risk modelers, and generally data scientists in finance. Buy side quantitative researchers, or desk quants may be a bit of stretch due to fierce competition, but not impossible for junior roles. Sometimes luck comes into play too. At the very least, HR/hiring managers seem to trust PhD grads and would extend interview opportunities, at which point it's up to you to prove yourself. Be focused, think it over, and put together an integrated set of skills/knowledge for your interviewers. You really just need a place to start.</p></blockquote><p></p>
[QUOTE="ZFL, post: 276045, member: 40377"] Hi mate, I can talk a bit about my experience of switching to quantitative finance. Interesting enough, I spent two years on researching QKD for my Master's degree but went on to earn a PhD in semiconductor photonics. To be honest, skills earned during quantum information research are not very applicable to finance. Hard quant positions require good coding skills, effective and efficient, and strong optimization/statistical/probabilistic/stochastic calculus knowledge. That's my impression. Many friends of mine who switched to finance had to really brush up coding skills and cram relevant knowledge + finance nomenclatures. Therefore, it's good that you have been involved in machine learning projects and taking online courses. It would help open doors to data science positions in general. You background in MATLAB, Python and C++ seems okay too. If you already have experiences in some packages E.G CVX, sci-kit learn, you can strengthen/expand your understanding of the theoretical parts too. While programming in MATLAB, Python and C++ can be more of an art, SQL is really straightforward so you don't need to worry about that. Forget about quantum machine learning/quantum cloud computing research experience. Many of my friends, myself included, would only LMAO. No offense to anyone's devotion. If you would like to be a professor, that's a different story. But I assume when you look to quant finance for career, you are realistic. Under current conditions, job markets seem much more turbulent but the majority in the field seems to be doing fine. You haven't name any specific groups, departments or fields. To me, you look really good to get positions in market risk developers, credit risk modelers, and generally data scientists in finance. Buy side quantitative researchers, or desk quants may be a bit of stretch due to fierce competition, but not impossible for junior roles. Sometimes luck comes into play too. At the very least, HR/hiring managers seem to trust PhD grads and would extend interview opportunities, at which point it's up to you to prove yourself. Be focused, think it over, and put together an integrated set of skills/knowledge for your interviewers. You really just need a place to start. [/QUOTE]
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How to prepare for a quant job after doing a Ph.D. in physics (Quantum Information) ?
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