C++ Programming for Financial Engineering
Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!

Python for Finance with Intro to Data Science
Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!

An Intuition-Based Options Primer for FE
Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Reply to thread

Message: <blockquote data-quote="Abir" data-source="post: 275912" data-attributes="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.Particular mathematics that I have used in my research:Linear algebra, probability, information theory, signal processing.Exposure to coding:<ul> <li data-xf-list-type="ul">Matlab: 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">Python: 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">C: 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>Exposure to machine learning and deep learning:<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>Soft skills: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.Weaknesses I can think of:<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>Questions: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 <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.)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!</blockquote>

Verification