I'm looking to go into quantitative finance after my phd in around 2 years. With a background in pdes/numerics/heterogenous and distributed computing, I think my skill set is applicable in this area, and I'd enjoy the work. I don't have any financial background though, before my PhD I worked as a software engineer and data scientist at a couple of companies.
What entry level textbooks/papers/concepts should I start my (quant) finance journey with?
Are there any resources that mirror 'cracking the code interview' for quant finance that are recommended?
In general, I am less interested in quant dev jobs, unless they offer progress to research positions, as I don't want to be stuck in another developer job, I'd prefer to make use of my math skills.
It would be a great help to hear from other people with similar background on how they got started in the field, and which companies look favourably on these skill sets for their business - both in the Europe and the USA.
If it helps I am based in London, at a top 10 uni globally on the PhD in Math program, so for boxticking and geography I think I am ok?
thank you :)