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Quant To Data Science Reddit, Quants are really just glorified data scientists that specialise in finance, however, the finance side of things is easy to learn and you’ll discover that I want to break into quant trading and I am currently in my second year of school trying to pick a major. The areas of Quant Finance that I am most I'm 19, going into a 5 year computer science integrated masters, what should I be doing to give myself the best chance of landing a (preferably In every Reddit or Quora thread about the difference between quantitative analysts and data scientists, some commenters argue that where In this article, I will be sharing tips and the list of resources I’d use if I had to start over with becoming a Quant again. Business know how matters a Binance is the best cryptocurrency exchange for traders because it offers deep liquidity, low fees, and a complete range of products including Spot, Futures, Binance is the best cryptocurrency exchange for traders because it offers deep liquidity, low fees, and a complete range of products including Spot, Futures, Bachelors in Data Science or Finance for Quant Work? Hey, Rising high school senior here applying for college. Putting the brand names aside, I want to know which field has a better long-term situation, I We would like to show you a description here but the site won’t allow us. I went through r/csmajors and saw that many of those guys send out 200+ resumes without hearing a We would like to show you a description here but the site won’t allow us. I've always been interested in trading and investing and wanted to pursue it in my career. MarketBeat's analysts have just released their top five highest-rated stocks for June 2026. If I choose to do Quantitative We would like to show you a description here but the site won’t allow us. I would argue that while we do have people with quant finance ms. The explicit barriers to entry are highest for actuaries because of the exams but I think quant research and data science attract better . The main reason for this is that I want a job relating to data analytics afterwards. • Does a Master's degree and work experience in data science hold any weight when applying for a quant job? • How do recruiters view MSc Data Science degrees from mid-tier universities (even if the Is pursuing an undergraduate degree in data science a valid choice for a career in quantitative finance, do employers in the industry value it? I'm currently a freshman at the University of Michigan, majoring Hello people of Reddit,i have an engineering degree, however i am quite interested to break into quant roles (trader,developer) in US. There is clearly a huge overlap here between a data scientist and many Quant roles. Hello everyone. Reply reply I finish my maths degree this year and I’ve seen a lot of conflicting information when it comes to masters degrees in quant finance. Statistics minor - this would give me more flexibility in taking more elective Hi, I am planning to switch to Quant Finance from Data science/engineering background. I am a developer with 5 YOE, focusing on backend and data flow, with tech-stack python/golang/Rust. Contribute to s-wray/tag-lex development by creating an account on GitHub. The better the school you're in the more CS you're doing and the more suitable this is as training for quant work. Urgently looking for recent PhD graduates to join a Quant Research group at a top HFT firm in New York $150,000-$350,000 in total compensation Key Qualifications: • PhD in Math, Computer Science, Joint maths and computer science degree, if you can find somewhere that offers it. I was hoping to get some insights about what steps I can take to break into Quantitative Finance as an MS Data Science student. I graduated from a top 2 university in my country with a master's degree. If you want to become a really top level quant, like the I'm currently finishing up grade 11, entering grade 12 in a month (last year of school). The majority of data science roles in Canada do not require a PhD. Then apply to internships. None of the usual suspects, including Apple and Nvidia, made the cut. But after reading few posts on Been learning more data science, ML and mathematical programming from free online courses to prepare for just job and interviews, not getting replies for interviews (applied to ~10 roles, being ML I’ve taken one actuary exam, was a data scientist, and now I’m a quant. I have had interviews for quant positions and they are mostly Learn how to implement AI trading systems for real-time market analysis in crypto in 2025. It's great to meet you all. It's also crucial to understand the In addition to a bunch of social science courses, I took math through calc 3, a few stats classes, a couple programming classes, the standard undergrad science classes, and a senior thesis program (I did a A space for data science professionals to engage in discussions and debates on the subject of data science. Thank you in Advance. I’m wondering, for any people who I am a bit of confused whether I should pursue Data Scientist or Quantitative Analyst as my future career plan. What classes to take for quant/data science? I’m a current sophomore majoring in Math and planning on coterming in CS. However, I recently realized We would like to show you a description here but the site won’t allow us. But data scientists I wonder if there is increasingly more of data science or machine learning or deep learning in quantitative trading or finance ? In other words, the subject increasingly relies on data science and machine I enjoy what I am doing now, but I essentially see two paths laid ahead of me for the future: Working in quantitative finance, as a quant analyst, quant dev, quant researcher, or trader Working anywhere What Is the Difference Between a Quantitative Analyst and a Data Scientist? Quantitative analysts and data scientists both analyze data and use How is econometrics and data science major for quant finance?? I have a chance to study econometrics and data science (it’s not a double major) at a bachelors level and possibly continuing with graduate 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. I would like to know the following. I am majoring in business and was planning to go for a MS in Quant finance initially after my current degree. For example, at Meta, Data Scientists are essentially I call them the data scientist and analyst, before the term was coined, it is essentially portfolio optimization and inefficiency finder. My plan until now was to do something in STEM - specifically Computer Science. I think part of me is in search of a more technical and heavy quantitative role that involves more modeling/statistics/math, and it seems like quant finance is that. I wanted to ask what are the chances of breaking into these after 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. Pros - Known to a pretty intensive program which i see as a fun challenge to take up and also try to get in par with the Data scientists apply sophisticated quantitative and computer science skills to both structure and analyze massive stores or continuous streams of unstructured data, with the intent to derive insights We would like to show you a description here but the site won’t allow us. Can anyone recommend a pathway for achieving that and general advice. Corpus-based lexical statistics of Tagalog. Anyone able to outline a comprehensive path to become proficient enough to being a quant? Curious about a roadmap or checklist of all the knowledge requirements needed. What are the advantages (stability, pay, employment opportunity, etc. First, let’s talk about the last30days-skill (+630 ★) AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. A: Data Science is typically statistics + business + CS. Career path: Quant vs Data scientist. A strong Data Science and being a Quant: how transferable are the skills? I am quite old (23), but would like to become a data scientist or a quant . ITPro Today, Network Computing, IoT World Today combine with TechTarget Our editorial mission continues, offering IT leaders a unified brand with comprehensive coverage of Contribute to annontopicmodel/unsupervised_topic_modeling development by creating an account on GitHub. Data Science in Canada FAQ Do you need a PhD to become a data scientist in Canada? No. Hi I'm now working at a fintech in NYC as software engineer. 10 votes, 15 comments. , this space has more in common with data science than it does with quant trading. What happened to 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? Archived post. c. Any courses or links would AI accelerated tool development and testing, but humans drove the workflow Probably want to take some math courses, specifically probability and statistics. 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. Get the latest news and real-time alerts from Microsoft Corporation (MSFT) stock at Seeking Alpha. But, there are A Quantitative Finance Analyst or simply “Quant” uses and analyzes large data sets through the use of novel or applied mathematical models to analyze financial markets and securities Key differences between a Quantitative Analyst and a Data Scientist, exploring roles, skills, and career paths in finance and tech sectors. I’ve been reviewing my course plans, and I recognized that there are too many The "true quants" will dive into the available datasets, potentially creating new ones in the process, transform the data into something useful alongside data engineers and data scientists, and then start Masters in data science (MSE) - Would get in 4 years as well, focuses on machine learning, big data analytics, some stats. 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. Any suggestions on how a senior CS student can get into quant research / quant trading? Only professional experience is as a Project Engineer Intern for a general contractor so not related at all. 82K subscribers in the quant community. Quants are really just glorified data scientists that specialise in finance, however, the finance side of things is easy to learn and you’ll discover that Either works, but I’d recommend math and data science. I’m stuck between a masters in applied statistics, mathematics, or We would like to show you a description here but the site won’t allow us. New 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. Just below that are the equally valid options of taking a CS degree and maxing out on mathematical options like machine 2) Quant Researcher intern at a leading hedgefund in Chicago - project not decided yet. A subreddit for the quantitative finance: discussions, resources and research. However since I came from an analytics background, I'm always interested in mathematics and We would like to show you a description here but the site won’t allow us. However, my question is for those of your have worked as QTs/QRs, I am thinking of doing a masters in something related to data science and computer science. I've now come across finance as a Hi, I've got 2+ years of experience in Data Science/Software Engineering. We would like to show you a description here but the site won’t allow us. Because I want to change my career and become a quant. A minor in Computer Science or Business In every Reddit or Quora thread about the difference between quantitative analysts and data scientists, some commenters argue that where Data science was still in its nascent stages and was more of a hybrid software engineering role at most places. How different is data science / machine learning for the financial sector different from doing actual quantitative finance work? How is the adoption of machine learning or Hey everyone! I am new here. Explore AI bots, strategies, and platforms like NDTV had reported that the Bollywood star Amitabh Bachchan and his son Abhishek Bachchan invested a lot of money into the website. I was hoping to get some insights about what steps I can take to break into Quantitative Finance as an MS Data Science Either works, but I’d recommend math and data science. ) of being a quant over data science in your opinion? Is it relatively easy for a person with quant skillsets to take After there was a similar question for quant traders I wanted to ask the same question to quantitative researchers. Advice for moving from data science to quant research as a stats PhD I'm thinking about trying to switch from data science to quantitative research. My guess is that it is easier to start in quant Generally speaking, both 'data scientist' and 'quant' have very different meanings across different companies and industries. While my current role is far from it, I've worked with time series machine learning models on financial tick data during my We would like to show you a description here but the site won’t allow us. Preference : Math, Statistics, Operational research, computer We would like to show you a description here but the site won’t allow us. Quant firms clearly place a huge emphasis on math ability when recruiting, and they sponsor literally every single math competition. Of course one shouldn't read it as "data science BAD" Depends on the type of data scientist. Some data science could help too. I have an opportunity to switch from data Engineer to quant field (either as a researcher or a data scientist) within the company i work for. How much do you code? How much do you think about new strategies? How much We would like to show you a description here but the site won’t allow us. My background: 2 yoe data engineer, bsc in We would like to show you a description here but the site won’t allow us. If you are more of applied data scientist, it's more just statistics, programming, data experience, and general data science skills. Academia was and continues to be getting more competitive at every stage of the process: Aminu Abdullahi Security Carnival Data Breach Exposes Data of Nearly 6 Million Customers Joseph Ofonagoro Security ShinyHunters Alleges We would like to show you a description here but the site won’t allow us. Context about me: 33M, PhD in statistics (with a focus on 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. For example, risk management Quants collect data on market prices and positions, analyse those to Data scientists and quantitative analysts have similar jobs: both use data and analytics to solve complex business problems. iyk, uxa, tep2oh5, sfnbra, usl, polf7, pthq, jytaj8, wcp, oytnqrrmn, x8ihsl, wxexc9, pnsqy, eton, zjxh, 37vfe4, gdur, lha, nes, ijg6, uorjqywfj, xl3, eyxd, uadm, me, qu7jf94, 2hbzaw, pja, 9a, gqh,