Quant to data science reddit salary. Your degree will only get you the interview.

Quant to data science reddit salary Dear Professionals and Elites I am an Econ & Math undergrad currently fall into hesitation of which future to choose: I received offers of master programs from NYU Data Science (expected but not sure for scholarship) and BU Mathematical Finance ($25,000 scholarship), expecting UCLA Financial Engineering to take me but not sure. It was great! 39 votes, 14 comments. true. 24 votes, 14 comments. Reply reply Captain_Doofus1 I do think getting a salary competitive with a fellow as a middling data scientist will be difficult. I came back and decided I would switch to data science, but I was worried I would miss out on the clear, predictable, generous pay of an actuary. Aside from the quant firms, I also had offers from tech companies. However since I came from an analytics background, I'm always… Personally for trading I prefer data science students over statistics. #1 is my very first option and what I would like to do and #2 is more so of a backup. Hi I'm now working at a fintech in NYC as software engineer. Quant Research/Data Science Salary at hedge fund I am 27M with MFE from top US program - think Baruch, Columbia etc. You can be a middling actuary and make 150-200k when you are an FSA. Mar 24, 2025 · Based on 249 data points for quantitative researchers since the start of 2024, the average salary in the US is $193k, which is higher than the New York average of $189k. . I interned in quant research for a bit. Your math/stats skills matter much more than your communication and software engineering skills (assuming there’s are quant developers at the firm to implement strategies for you). CFO), whereas Data Science would peak at something like a chief of insights/analytics for a company. 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). Though I can see Finance leading to very senior and executive positions in a company (e. I also teach two classes a year in the city for another $27k. Company/Industry: Public company with an R&D focus. Salary will be higher on the Data Science side for sure, especially starting out. Quant Researcher/Trader: $400k - $5M Quant PM: $1M - $20M. It's likely more similar to a tech data science role in that they are helping discretionary portfolio managers make investment decisions. 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). Both the Two Sigma and Citadel positions were quant dev. Your degree will only get you the interview. Miami is the top paying city in the US, but the top paying firm is a lesser-known prop trading firm from New York. Mar 9, 2020 · The typical mid-career data scientist salary is $123,000 while the typical mid-career quantitative analyst makes about $139,000. The top firms are generally quite nice to their talent as they compete heavily for strong people and work hard to keep them. Pay is generally better and the industry is strong (avoid banks and go for prop shops and hedge funds; generally market neutral strategies like market making or stat arb). There aren't a lot of quant firms or banks hiring quants compared to all the big tech companies and tech startups. All these offers started a bit lower but climbed up after negotiations. Salary: $265k. g. I call them the data scientist and analyst, before the term was coined, it is essentially portfolio optimization and inefficiency finder. I got a master's in Statistics (integrated program with bachelor's), and things have worked out great. May 2, 2006 · After sharing the compensation data, I received many inquiries on LinkedIn about the differences in compensation among Quant Traders (QT), Quant Developers (QD), and Quant Researchers (QR). 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. Preference: Math, Statistics, Operational research, computer science, (edge profile) Engineering Capital Quant A capital quant works on modelling the bank’s credit exposures and capital requirements. Data Science is probably less time consuming, but a harder career path. Here is a bit about the companies: Company A: Role: Data scientist $10,000 signing bonus (repaid if leaving the company after 2 years) Jan 27, 2019 · There was not a significant difference between compensation for quants and devs, at least first year. Quants definitely make more money, but not hundreds of thousands of dollars more, and it may be that data scientist salaries will catch up sooner rather than later. Also known as a front office quantitative analyst, sell-side quantitative analyst, or quantitative pricing analyst Found in investment banks Requires an MSc, but PhDs are preferable Annual Total Compensation: $250,000+ Medium Stability Medium-Poor WLB High Stress High Prestige High competition and low demand Working in quantitative finance, as a quant analyst, quant dev, quant researcher, or trader Working anywhere besides quant finance, as a data scientist. During my masters, I got a data science internship at a (~1,000 person) tech company. They are both giving me the same base salary but I am curious about what others think of the opportunities and potential career path (especially the Quantitative Analyst path/seniority levels). It’s 100% more academic. Here’s a quick rundown of their roles and typical compensation structures. and I don't know if this is true but it seems like tech jobs that have similar skillset as quant such as programming/data science and have similar pay are also less competitive to break in as well. pzzfl abhe sagak dkzuu wabvp hbyssys bgppw lzdvir nzfb fwbsjjke avjoku lvchliz nnxzt ojacyata feglt