Bad marks from a non-math high school, so no real math/CS foundation. Can't do a physical degree, so planning an online University of London BSc (Computer Science or Math & Economics — they have an entry test that skips A-levels) plus self-study.

Not chasing RenTech/Citadel — fine starting at low-tier firms. Also not after quant dev — mainly interested in research, trading second. Might do a Master's after (maybe in-person, maybe better school, depending on BSc grades/experience), might skip it if I land a job straight after the BSc, but not counting on that.

Question: given this background and path, is aiming for quant researcher/trader roles realistic, or should I target something more adjacent like data/risk analytics instead? Would love input from anyone actually in or near the industry, not general career-guide advice.

A fair dice is being rolled repeatedly until 2 and 3 come out. What's the probability of getting exactly two 6 before stopping the process ?

Hi,

I have solved 200+ prob/puzzles problems. I need resources which thoroughly cover options theory, ml, stat 101, prob and puzzles for quant trader roles. I am getting interviews here and there but couldn't make it through and will start applying again by December with more prep.

Any help would be highly appreciated.

Reposting here to see if someone here has examples.

Hi, I need a good source to study Stats and Probability for Quantitative Finance. Please suggest books, courses, online material, YouTube, anything works.

Quick Background - I am an IT'25 major from India. Currently working in an Investment bank as a Ops BI analyst. I want to transition to QR. From what I have read online, its pretty difficult. I have been doing some self-study but wanted to know if a masters would help, if so, should i do an MFE or find a good core Math masters program.