Quant to data science reddit Personally for trading I prefer data science students over statistics. I would be pretty surprised if that were true. Quant will be great, but volatile. 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? As for the degree's level of prestige, if you will, involving masters programs and job applications, hardly anything will look better than data science. it seems the average pay of quant is worse than SDE. My view is that if you don't know what the raw data is telling you, and you're using legit statistics to gain insight (exploratory data analysis, for example) then the term data science may be I've seen quant research jobs for a lot of finance companies. Current total comp is ~270k. I would say take numerical methods in python. quant is a lot more specialized so u can get pigeonholed and if ur specialization is no longer a hot sub field, then ur kind of SOL. Please do tell us how quant finance stuff "is of another scale" to data science at tech companies with 100's of million to billions of users. I had to move into data science due to financial reasons. Feb 20, 2023 · I was hoping to get some insights about what steps I can take to break into Quantitative Finance as an MS Data Science student. Your degree will only get you the interview. I’ve always liked math and statistics especially and have been thinking about graduate school first, but long term I don’t think I won’t to go back to an industry data science job, but rather I want to break into quant research or trading. You're probably better off doing investment banking, sales, trading, etc. My 2c at least. With the rise of AI, code generation, text based prompts, IMHO Both fields will be obsolete in 10 years. I'm thinking about trying to switch from data science to quantitative research. Of course one shouldn't read it as "data science BAD" without any qualifiers, or that "data science-like quant" is bad. a good data science program could be better for breaking into quant than a lower ranked MFE program. I have also realized that without any kind of domain knowledge, I am absolutely useless as a data scientist. The work is somewhat research oriented. At the end of the day the only thing that matters is how much you know and how well you interview, if you get past the initial resume screen, an MS in data science is viewed as a stat + CS guy and their interview questions will revolve around those topics (more so in ML). Context about me: 33M, PhD in statistics (with a focus on theory) from a top tier school Since graduating, I've worked 2 years at a FAANG company doing data science. I am seeking entry level roles. For a career in quant or data science, a major in either Finance or Economics (with a focus on data analysis or mathematical economics) would be beneficial. . "Data science" has been a big buzzword the past few years and the field is only going to exponentiate throughout the decade. but yes Nov 29, 2024 · Oddly enough i started my tech career in 1980 in data science. We called it "statistics" back then. For quant development, MS CS in tier-1 schools with great scores in competitive coding programs, participation/trophies from ACM ICPC type tournaments, etc. Business know how matters a lot, knowing some algorithms or technology stacks doesn’t make you a quant. Current program: MS Data Science at Vanderbilt Nov 4, 2024 · You can go study real analysis, abstract algebra and measure theory. I was wondering if the skills are transferable and what people's thoughts are on the better career path? My current plan is do a data science bootcamp (I know they are a rip off), and am applying for quantitative finance masters for the following year. Married a legit double degreed statistician too. Nov 6, 2019 · eh, quant can be kind of the same way depending on where you end up. as for OP’s question it depends on the relative brand name of the two programs. The areas of Quant Finance that I am most interested in are Quant Trading and Risk Analysis. I'd expect a data science MS to be pretty surface-level on most of that material, since there's just so much material to cover in a short period of time. Lower than F/G? Maybe, but I'd want to see the numbers to be truly convinced. Data science will be more stable. While I do like ML, I hate anything to do with images, videos or text data. Specialize in quant and learn the basics of the data science field. I'm going to be finishing my Masters in Data Science this September and I’m interested in developing my skills towards a career as a Quantitative Analyst or Quant Trader. The you can easily apply that in quant fi or data Sci. Below are some details about my background. Whilst Data Science seems more statistics, python, SQL. I was originally working as a space systems engineer designing satellite systems. IMO a data science MS generally won't even be sufficient for the more technical data science/MLE jobs, unless you have a strong quantitative background prior to the program. Physics geek here, who's worked in data science. This is reminiscent of many quant roles selling themselves as something fancy mathy while in the end being very similar to a data science role. Creating values with quantitative methods then you’re in Sounds like the author might not have realized this upfront. Econometrics you will have a deep understanding of one the most widely used methods in statistics, data science, quant finance and programs like EME require you to learn those tools using more math than most American engineering students take. , would help. Usually, they don't sound that different from a data scientist role, except focused on time series. A minor in Computer Science or Business Analytics would complement the major well. Did real analysis undergrad for mathematicians and it's way too theory focused for a dummy like me. Why quant then? I don't think that quant jobs give too many opportunities for that. MS in Data Science will not get you into almost any quant trading/developer roles unless it's a startup prop firm or below tier-2. Being a quant regardless of field, alpha, risk, hedge, portfolio optimization is the ability to formulate a business problem and solving it in a quantitative data centric manner. I have experience as a part-time Data Scientist at a software development company and have an opportunity available to work as a data scientist at a start-up bank when I Even though the quant finance stuff might be "data science", it is of another scale entirely, such that the terminology is completely different in another class. rylmedf mnpdq mdltdvf qxdf ptzdq dpwoh gjly hiema qbhnnaix tkyu akysrag jccb eipr gwasapnz cjiikxbw