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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="Abir" data-source="post: 275912" data-attributes="member: 43961"><p>Dear all,</p><p></p><p>I am an international student who is going to complete a PhD in physics in Australia in about six months (specifically, I worked on quantum communication protocols). Before my PhD, I studied Electronics and Communication Engineering in my undergrad. I am considering to shift to industry, possibly in Hong Kong, Singapore or Australia for the next 4-5 years and eventually get settled in India. I am looking for jobs that involve a fair bit of mathematics. With that in mind, a little bit of research introduced me to quantitative finance. I am writing down some aspects about myself as objectively as possible.</p><p></p><p><strong>Particular mathematics that I have used in my research:</strong></p><p>Linear algebra, probability, information theory, signal processing.</p><p></p><p><strong>Exposure to coding:</strong></p><ul> <li data-xf-list-type="ul"><strong>Matlab: </strong> I have a good exposure to Matlab, for example, I have a paper where I modelled atmospheric turbulence. I have also created several optical signal processing in Matlab. I have used a convex optimisation package, like CVX.</li> <li data-xf-list-type="ul"><strong>Python:</strong> Although I am not as fluent in it as in Matlab. Mainly it boils down to do a quick google search for the exact Matlab equivalent command that I am looking for, and after that I can fairly easily implement the algorithms. Also I have a good of exposure to the libraries like sci-kit learn.</li> <li data-xf-list-type="ul"><strong>C:</strong> In my undergrad, I have done basic programming algorithms like sorting, printing patterns, data structure. However, I have not prepared particularly for any coding interview.</li> </ul><p></p><p><strong>Exposure to machine learning and deep learning:</strong></p><ul> <li data-xf-list-type="ul">I have done a deep learning workshop from Spaceport AI that involved 3 Kaggle projects. There were projects like twitter sentiment analysis or recognising cats and dogs.</li> <li data-xf-list-type="ul">Currently, I am working on a physics project that involves machine learning, the work should appear on the arXiv soon.</li> <li data-xf-list-type="ul">I am currently doing a Udemy certification <a href="https://www.udemy.com/course/machine-learning-using-r-and-python/?utm_source=adwords&utm_medium=udemyads&utm_campaign=DataScience_v.PROF_la.EN_cc.AU_ti.5336&utm_content=deal4584&utm_term=_._ag_78855611892_._ad_359449255095_._kw__._de_c_._dm__._pl__._ti_dsa-801855579802_._li_9069264_._pd__._&matchtype=b&gclid=EAIaIQobChMIxPb56IPc6wIVmjUrCh0VZQa-EAAYASAAEgIyv_D_BwE">course</a>. </li> <li data-xf-list-type="ul">However, I haven't taken a machine learning as a core course, I know a bit of linear algebraic model behind neural network or the principle behind gradient descent algorithms but if someone asks me to solve an exercise problem from Christopher Bishop, I will get stumbled for a while. The point is, if it is worth investing time to get well versed in the underlying math I can do that.</li> </ul><p><strong>Soft skills:</strong></p><p>I am an introverted person, however, my Ph.D. gave me several opportunities to improve my communication and presentation skills. Based on my personality, I would like to be the guy who works on mathematical and statistical modelling and decode the state of the art trading papers.</p><p></p><p><strong>Weaknesses I can think of:</strong></p><ul> <li data-xf-list-type="ul">I don't have a finance background.</li> <li data-xf-list-type="ul">I haven't worked on SQL, however unlike data science jobs, I have seen that most quant ads don't have this requirements.</li> <li data-xf-list-type="ul">I need to prepare myself with coding interview questions.</li> </ul><p></p><p><strong><u>Questions:</u></strong></p><p></p><p>1) How much chance do I have if I want to land a quant job immediately? </p><p>2) Assuming the chances are low for 1), what do I need to work on if I want to land a job before, say June 2021? Realistically, I will be busy in writing a few papers and after that I will write my thesis. So I can dedicate 2-3 months for job preparation.</p><p>3) If I do a post doc, in a field say quantum machine learning, then how will it affect my job prospect? (There are <a href="https://www.ibm.com/thought-leadership/institute-business-value/report/exploring-quantum-financial">articles</a> about doing finance using quantum computers, but I am not sure how much my degree will boost my credibility.)</p><p>4) How secure and stable is the job market, now given the COVID situation?</p><p>5) Given this pandemic situation, I don't have much opportunity to do networking. Can you guys suggest strategies or opportunities to do networking?</p><p></p><p></p><p>Any advice would be highly appreciated!</p></blockquote><p></p>
[QUOTE="Abir, post: 275912, member: 43961"] Dear all, I am an international student who is going to complete a PhD in physics in Australia in about six months (specifically, I worked on quantum communication protocols). Before my PhD, I studied Electronics and Communication Engineering in my undergrad. I am considering to shift to industry, possibly in Hong Kong, Singapore or Australia for the next 4-5 years and eventually get settled in India. I am looking for jobs that involve a fair bit of mathematics. With that in mind, a little bit of research introduced me to quantitative finance. I am writing down some aspects about myself as objectively as possible. [B]Particular mathematics that I have used in my research:[/B] Linear algebra, probability, information theory, signal processing. [B]Exposure to coding:[/B] [LIST] [*][B]Matlab: [/B] I have a good exposure to Matlab, for example, I have a paper where I modelled atmospheric turbulence. I have also created several optical signal processing in Matlab. I have used a convex optimisation package, like CVX. [*][B]Python:[/B] Although I am not as fluent in it as in Matlab. Mainly it boils down to do a quick google search for the exact Matlab equivalent command that I am looking for, and after that I can fairly easily implement the algorithms. Also I have a good of exposure to the libraries like sci-kit learn. [*][B]C:[/B] In my undergrad, I have done basic programming algorithms like sorting, printing patterns, data structure. However, I have not prepared particularly for any coding interview. [/LIST] [B]Exposure to machine learning and deep learning:[/B] [LIST] [*]I have done a deep learning workshop from Spaceport AI that involved 3 Kaggle projects. There were projects like twitter sentiment analysis or recognising cats and dogs. [*]Currently, I am working on a physics project that involves machine learning, the work should appear on the arXiv soon. [*]I am currently doing a Udemy certification [URL='https://www.udemy.com/course/machine-learning-using-r-and-python/?utm_source=adwords&utm_medium=udemyads&utm_campaign=DataScience_v.PROF_la.EN_cc.AU_ti.5336&utm_content=deal4584&utm_term=_._ag_78855611892_._ad_359449255095_._kw__._de_c_._dm__._pl__._ti_dsa-801855579802_._li_9069264_._pd__._&matchtype=b&gclid=EAIaIQobChMIxPb56IPc6wIVmjUrCh0VZQa-EAAYASAAEgIyv_D_BwE']course[/URL]. [*]However, I haven't taken a machine learning as a core course, I know a bit of linear algebraic model behind neural network or the principle behind gradient descent algorithms but if someone asks me to solve an exercise problem from Christopher Bishop, I will get stumbled for a while. The point is, if it is worth investing time to get well versed in the underlying math I can do that. [/LIST] [B]Soft skills:[/B] I am an introverted person, however, my Ph.D. gave me several opportunities to improve my communication and presentation skills. Based on my personality, I would like to be the guy who works on mathematical and statistical modelling and decode the state of the art trading papers. [B]Weaknesses I can think of:[/B] [LIST] [*]I don't have a finance background. [*]I haven't worked on SQL, however unlike data science jobs, I have seen that most quant ads don't have this requirements. [*]I need to prepare myself with coding interview questions. [/LIST] [B][U]Questions:[/U][/B] 1) How much chance do I have if I want to land a quant job immediately? 2) Assuming the chances are low for 1), what do I need to work on if I want to land a job before, say June 2021? Realistically, I will be busy in writing a few papers and after that I will write my thesis. So I can dedicate 2-3 months for job preparation. 3) If I do a post doc, in a field say quantum machine learning, then how will it affect my job prospect? (There are [URL='https://www.ibm.com/thought-leadership/institute-business-value/report/exploring-quantum-financial']articles[/URL] about doing finance using quantum computers, but I am not sure how much my degree will boost my credibility.) 4) How secure and stable is the job market, now given the COVID situation? 5) Given this pandemic situation, I don't have much opportunity to do networking. Can you guys suggest strategies or opportunities to do networking? Any advice would be highly appreciated! [/QUOTE]
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