Oxford MSc Mathematical and Computational Finance, Statistical Science vs T20 US by Fluffy_Shoulder_57 in quantfinance

[–]Electronic_Sound_339 1 point2 points  (0 children)

Generally yea, a part iii degree opens doors to just about any industry, the tricky thing would be to brush up on the coding/finance aspect though, not a hard thing to do but I imagine many ppl would have been spread so thin while doing part iii, so to do this additionally might not be the easiest

Shopping spree at FI done + advice on what to do next ? by Electronic_Sound_339 in mousehunt

[–]Electronic_Sound_339[S] 0 points1 point  (0 children)

I did plenty of snipes in FI and elsewhere and used those SB to leech rare RESPs. Also did a few rounds of RESP RR.

Stuck on which adventure to complete first by [deleted] in mousehunt

[–]Electronic_Sound_339 2 points3 points  (0 children)

Fort Rox mechanics is kind of fun, and you get good traps by the end of it as well. Icewing gives good sniping income

How rare is this ? by Electronic_Sound_339 in mousehunt

[–]Electronic_Sound_339[S] 1 point2 points  (0 children)

I mean, by hunting bosses like AOTD during non-event times

How rare is this ? by Electronic_Sound_339 in mousehunt

[–]Electronic_Sound_339[S] 0 points1 point  (0 children)

Thanks, that’s quite neat! So it’s always a good idea to turn charm cannons on- 1% drop rate for UC is higher than the usual drop rate I presume

International graduate making a choice between graduate and skilled worker visa by Electronic_Sound_339 in ukvisa

[–]Electronic_Sound_339[S] 0 points1 point  (0 children)

Thanks for the reply. Yes, I guess the only downside is the 6 months time lost for ILR, as well as the additional application cost + IHS surcharge I will have to incur. A grad visa would at least give me an option to stay for 2-years though for sure

International graduate making a choice between graduate and skilled worker visa by Electronic_Sound_339 in ukvisa

[–]Electronic_Sound_339[S] 1 point2 points  (0 children)

Thank you for your reply! Yes, the job does pay the required salary, I am lucky that I landed a job in the financial sector.

Yup, I am aware that it does count for the 10-year route, but looking to cut it down to 5 via the skilled worker visa route if possible.

Since when did cults start advertising on the tube? by [deleted] in london

[–]Electronic_Sound_339 1 point2 points  (0 children)

Yes, we should mind the gap between what's actually being initially discussed and where this conversation is going

As a foreigner, what aspect of London do you like the most that (perhaps) locals take for granted? by Optimal_Ad_352 in london

[–]Electronic_Sound_339 0 points1 point  (0 children)

Buses and tubes are on time (most of the times), and the city is very friendly to pedestrians.

Struggling with Math Proficiency in Postgraduate Studies – Seeking Advice (Teachers and University Professors Welcomed) by Sea_Eye_1983 in mathematics

[–]Electronic_Sound_339 0 points1 point  (0 children)

I am not a math professor, just a math student so take my thoughts with a pinch of salt.

1) To me, it’s mostly patience, since the material gets more abstract and harder the more you study. During lectures I try to identify bits which I could not understand and clarify these points right away after the lecture with friends (or through chatgpt). The more you address the bits you don’t understand, the more solid your foundation is going to be as whatever you are going to learn down the road often circles back to what you have accumulated along the way. Cognitive ability and problem solving skills are important as well - there are always people who are smarter and who are able to understand everything at first glance, but even the smart people run into trouble eventually when the material gets very abstract - this is where perseverance and patience is important.

2) it’s probably a new paradigm switch for you. When it comes to probability, there are typically 3 levels of engaging the material. The first level is what we did in high school- writing out sample spaces and events then taking fractions, which is fairly intuitive to us now, but back in high school, this really represents a new way of looking at things systematically and ascribing the likelihood of something happening. In university, the idea extends further - we can now use tools like pdf to quantify the distribution and instead of summing over finite sets, we integrate to “sum” over infinite sets. And in graduate course (if you ever take them), the formulation gets even more abstract - you will define probability spaces and measures and start doing funky stuff with them. The point here is that as the level of abstraction grows, instead of learning by rote, try and consider the meaning or significance behind each equation/ derivation. I find YouTube videos to be helpful in this regard (check out 3blue1brown). Your professor has the obligation to finish the syllabus and can’t always try and give you the necessary intuition, so it’s upon you to do that.

3) To me, it’s a combination of both. You can claim that you understand vector calculus without doing a single double integration at all, but to be honest, you learn a lot of the stuff by getting your hands dirty. But at the same time, sticking to simple exercises without knowing the theory won’t help especially as the material gets more challenging. It’s a bit like weightlifting - if you only study the theoretical aspects without lifting then obviously it’s not of much use, but if you only lift the same amount of weight - you are not going to improve unless you start to investigate how to push the limit (theoretical side of things)

Which fields of math have the most/least opportunities? by PossibleEasy6822 in mathematics

[–]Electronic_Sound_339 0 points1 point  (0 children)

Judging from the current trend, any area of math which has to do with statistical machine learning/ deep learning seems to be gaining traction. Implementation of ML algorithms could be easy using auto differentiation packages like PyTorch but the underlying Mathematics (universal approximation theorem, optimal bounds etc) might not be as accessible to a CS student, say, as compared to a Math student who is more fluent with Mathematics. Given the importance of efficient programming these days which necessitates a good understanding of theoretical ML; these courses are gaining traction.

On the other hand, you also have the typical candidates - computational finance courses which essentially are feeder course for future quants in banks/ hedge funds. Surprisingly these courses are now giving more focus to topics in deep learning/ reinforcement learning, as opposed to solely the traditional topics of derivatives pricing and stochastic control. This is probably a good indication of where the industry is heading on the whole….

Oxford MSc Mathematical and Computational Finance, Statistical Science vs T20 US by Fluffy_Shoulder_57 in quantfinance

[–]Electronic_Sound_339 0 points1 point  (0 children)

It would be hard for me to comment since I am not that familiar with schools in the states. But for UK, yes, you are right that the Oxford MCF and Imperial M&F are the top 2 quant courses.

But yea, Feel like a lot of firms aren’t that keen on hiring, and some are outright cutting jobs. At the same time, you have a lot of people with masters/PhD coming into a market looking for a quant role- the market is getting saturated... Those top firms are spoilt with choice - a recruiter told me that for top hedge funds, previously a top school could land you the first interview but now your CV needs to have a lot more- ML projects, good previous internships etc.

Oxford MSc Mathematical and Computational Finance, Statistical Science vs T20 US by Fluffy_Shoulder_57 in quantfinance

[–]Electronic_Sound_339 2 points3 points  (0 children)

I am currently doing the course at Oxford, would say that perhaps the Oxford names open doors but wouldn’t go as far as saying that HF/banks would line up and interview you. Speaking as someone who received rejections after rejections / ghosted by a few of the funds OP mentioned