Quant vs data scientist salary reddit. I'm okay to stay at NYC or jump to west coast.

Quant vs data scientist salary reddit I’ve taken one actuary exam, was a data scientist, and now I’m a quant. com Jul 8, 2020 · Glassdoor lists the average salary of a quantitative analyst at $109,437 and that of a data scientist at $115,512. quant vs data scientist . I help write protocols and statistical analysis plans, read literature on what methods to use. They’re seeking to use it to outpace competitors, especially with the rise of AI and advanced analytics techniques. I do think getting a salary competitive with a fellow as a middling data scientist will be difficult. I went through r/csmajors and saw that many of those guys send out 200+ resumes without hearing a response back. I have been working as quant researcher for about 3 years at one of the top 20 hedge funds in US (not quant hedge fund). I graduated in 2009; a lot of my peers who pursued investment banking had nowhere to go with the fallout from 2008. Working anywhere besides quant finance, as a data scientist. Usually, they don't sound that different from a data scientist role, except focused on time series. g. Sep 4, 2020 · Still, despite the difference in names, in reality Quants and data scientists are mostly doing the same jobs, and have a similar set of required skills and qualifications. I have had interviews for quant positions and they are mostly brain teasers, IQ tests, the required knowledge is C++, stochastic calculus, algorithms. Depends on where you are (e. Salary is way less than data scientists, I get 147k with 5 years experience and an MS data science typically means people who can do all that analysts can do I see what you're getting at, but phrased this way it's incorrect. ). Putting the brand names aside, I want to know which field has a better long-term situation, I have heard people talking about DS going downward as AI blooms and Quant has higher salaries (maybe these infos are not accurate). Eventually I could become a SDE/DS manager (if I want)? Tech industry has lots of openings and still grow quickly. Generally speaking, both 'data scientist' and 'quant' have very different meanings across different companies and industries. Yeah this is really crucial difference. My current comp is around 240K, which I think is pretty low. financial analyst is different from a BI analyst, etc. Skill sets between data science and quant finance do overlap, but there are also differences, like C++ & stochastic calculus for certain areas in quant finance. I feel like for quant research, you need much more math than typical data scientist to be successful though. But data scientists do have an advantage. Fortunately, right now my employer is willing to pay up to $17k of the costs of a Master's program, but it has to be a program that is related to my role. I am quite old (23), but would like to become a data scientist or a quant . In my experience (2 actuarial internships + 3 passed exams and ~2 yrs work experience as a data scientist), actuaries are doing very specific math, while data scientists are more likely to use generalized tools. noodle. I would say no, an actuary can't do the job of a data scientist and a data scientist could not do the job of an actuary (without training). There is currently a perceived magic about the work data scientists do, and a shortage of people with the right qualifications. . Is that really all the difference between the two? Is a quant researcher just a data scientist working with financial and time series data? If not, what exactly does a quant researcher do? I am a bit of confused whether I should pursue Data Scientist or Quantitative Analyst as my future career plan. I am aware of PMs getting paid +$50M in the most successful teams Quant Developers: $300k - 1M Over the past few years, comps have increased substantially due to the increased market volatility. ), but product analysts often have product intuition and domain knowledge that data scientists typically don't. in DS, CS, Analytics, etc. Tons of emails and working with scientists and doctors to figure out what is going on and plan things appropriately. My brother graduated in 2001 and lost his Silicon Valley tech job before it started when that bubble burst. You can be a middling actuary and make 150-200k when you are an FSA. I want to break into quant trading and I am currently in my second year of school trying to pick a major. I've seen quant research jobs for a lot of finance companies. But now I’m emoving to NYC thus fintech/hf/ib seems another option. Data Science is probably less time consuming, but a harder career path. Data science seems like it would set me up well for quant but finance would set me up better for asset management/private banking. E. #1 is my very first option and what I would like to do and #2 is more so of a backup. Over the past 3 years I have been working really hard, so feel like understand a lot on how PMs think about different strategies and I also understand well derivatives. 1. For example, at Meta, Data Scientists are essentially SQL/dashboard/analytics folks while at Google Data Scientists are typically stats and ML modelers. The skillset isn't straightforward swap. Companies are no longer just collecting data. I'm okay to stay at NYC or jump to west coast. But I clearly know it’s way more rewarding but challenging for CS background to be quant in finance industry. I think that recession reverberated through the actuarial community as well though (I didn’t receive a full time offer from my Swiss R For instance, I've heard many say that in order to be a good Data Scientist one needs to not only be good at the math/stats/programming, but to also have a strong domain knowledge about the field in which they work (pharma, finance, sales, etc. I’m passionate about ML/stat/math, thus I’m always searching for chance to be data scientist or MLE in tech industry. Whilst Data Science seems more statistics, python, SQL. Still stay in TECH industry, but try to be machine learning engineer or data scientist that could combine my interest in coding and math. The explicit barriers to entry are highest for actuaries because of the exams but I think quant research and data science attract better students. See full list on resources. Quant Researcher/Trader: $400k - $5M Quant PM: $1M - $20M. nznyzg svcyfti epvoh sdtlfk jdyqdh jffulpe kalcz lrcrwldv fxpc fakv kgkk ggshc bxtyzve qkzn uwale