Are you saying that you've been spending a year or two programming with the view of using the skill to gain employment and not once has it crossed your mind to read about what skills would be tested in a programming interview? Please go buy an interview book.
I think the risk is very small. If you drop out, you're not going to have a gap in your resume as you can stay enrolled until finding a job and if ever asked, you could say you found an opportunity in the industry that was just too good to pass on even if that weren't exactly the case. Doubt...
I don't think nationwide averages are useful when any country is far from uniform. I think you should be getting 100k+ easy at an entry level position with FAANG in SF. It pays well, so obviously the competition is pretty fierce. But they do hire a lot of people. Also, if money is the goal and...
What counts as physics to you? There's a lot of people working on imaging --- be it medical, prospecting for oil, or computer graphics based on physics (both simulation and rendering). That might be an interesting combination of physics and computer science, and a career where you don't need to...
It depends on what you classify as physics. Finding fundamental laws of nature and formulating theories, I don't see AI or ML doing. However, viewed as a powerful tool of statistics and prediction, I can certainly see these tools being used to supplement in computational physics, finding new...
I don't think it is necessarily beneficial to try and put down general fields of work - it all depends on what you studied, and rightly so for a PhD is almost by definition a highly specialized degree and no one's is the same.
That said, many of my friends who did experimental physics ended up...
Did you mean to post this in some other thread? Do whatever you like and explain the situation to grad school at your new university or your new employer or whatever the case may be. I don't think anyone cares so much they'd want to see the piece of paper upfront as long as you can eventually...
Probably "academic guidance" is a better home for this thread given you are aiming for a postdoc rather than industry.
I've never quite understood how universities in the UK (I assume this is where you've graduated from given the mention of a viva) let people graduate without any publications...
I would let the companies that you're still interviewing for know that you have an offer elsewhere and that you'd like to expedite the process. If they can't make it move fast enough, you can tell the company that you already have an offer from that you are still in last round interviews...
Yes, the first book in particular (Hull's "Options, Futures, and Other Derivatives") goes very slowly and introduces many of the financial concepts. It is a long book, around 1000 pages or so, whereas Baxter&Rennie ("Financial Calculus: An Introduction to Derivative Pricing") is something like...
They do not: Sell side, buy side, market maker. So in some very simplified world, you have a hedge fund (buy side) that thinks that the stock market is going to go down, way down. They have this view because maybe they did a historical analysis of past asset returns or they know that the...
Investment banks and quant funds have different needs.
Roughly speaking, the former are in the business of making markets, so they hedge their risk and are "pricing in Q", which is why all the traditional models are about no-arbitrage and replication, and to actually write something down that...
It's only important in passing the first filter; if you get as far as talking to a person, it no longer matters. Different companies have different hiring guidelines and get different pools of applicants, so any general statement would probably be wrong. I feel it's more important that your CV...
While what you say about modelling exotic derivatives is true, many other things on the sell side have changed in the past decade: the demand for quants is increasing like never before, and it is not being primarily driven by machine learning. Instead, much of it is regulatory pressure, for...
Data science and machine learning are hot right now, though similarly to mathematical finance they are getting "saturated" by people with specialist degrees: Where some firms in their job ads used to write requirements down as "Master's/PhD in a quantitative field", which would have been the...