Pros
- Young company that will give you serious responsibility fast if you "earn" it. - Incredibly bright and surprisingly chill coworkers. - Fantastic tech stack, at least in terms of trading engine latency. You will not be getting picked off by faster competitors for the most part. - Office is pretty, good location. - Some of the higher ups seemed to be moving things in the right direction
Cons
- Real lack of mentorship as most of the extremely competent people leave and a lot of the leftovers in middle and senior management. At least in the trading department, you got the sense that anyone who had 2 of 3 (mathematical intelligence, trading wits, coding skills) was gone within 3-4 years or on the index desk, so it was difficult to get real mentorship if you are a forward-looking trader who wants to be evidence-based and as systematic/automated as possible. - Some of the desk heads were completely insane and/or extremely narcistic and it just really feels like there is not much you can do about it, though I'm sure this is the same at many prop shops. I had one desk head who basically ran a completely autocratic desk despite probably not being able to define standard deviation or really anything remotely technical, and everyone who remained on the desk was just fully meatriding as there was nothing actually difficult involved in the job besides the hours if you agreed with him (long gamma). - Hiring too many traders and not enough SWE. If they just had hired the top 5/10 traders in the class and 5 additional swe to work side by side with them I think the direction of the company would look a lot better. I personally felt like the over hired traders without a clear plan and made many of the new hires feel like they didn't really have a role to adding value. - 52 - 55 hours a week all in person is extremely standard, which may seem fine but understand that you don't get a real lunch break or really any significant break at all and you are looking at a screen the entire time actively thinking. Don't expect to feel energized when you get home on the weekdays unless you actually love trading. - The data storage and pipelines are a complete joke. Spend months trying to read through their documentation and understanding the db setup but the reality is it's a poorly organized mess. I spent way too much time randomly unpacking json returns that could have been simple data types if schemas were better. At least partially because of this, there was sometimes a lack of a refined rationalist/evidence based mindset and this would leak into a lot of decisions being made by theory and intuition by the people who had "earned" respect instead of that but also data, which often meant convincing other traders you were smarter than them or being louder or something.