Data Analyst To Quant Reddit. Hi all, some background about me: I am working as a data ana
Hi all, some background about me: I am working as a data analyst, specifically in forecasting, using R, Python, SQL, and PowerBI. Hey there! I'm currently pursuing an undergraduate degree in Information Technology. Professionals in this field are known as Diving Deep into Quant Trading: What It Really Means The world of quant trading, or quantitative trading, can often feel like a mystical, high-stakes game played by a select few geniuses My Life As A Quant Reflections On Physics And Finance My life as a quant: reflections on physics and finance has been a fascinating journey that intertwines the realms of theoretical physics and the I believe there is less competition for core quant analysts. My guess is that it is easier to start in quant My role as a data analyst is a senior one and is fairly broad, which is mainly back office in terms of building database infrastructure but also involves producing automated analytics on client accounts I currently work as a data engineer for a quant team, my official title is quant data engineer. You can have a look at https://www. I've 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. Hi I'm now working at a fintech in NYC as software engineer. For example, at Meta, Data Scientists are essentially 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’ve recently 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. I've only been in this role for about 6 weeks now and prior to this, I Can you apply for a data scientist at a bank? Then once you get some finacncial domain knowledge you could move horizontally into a quant analyst at the bank? This was one of the few ive applied for The first question I would like to address is “what are my chances of getting a job as a quant researcher”. New Hey all. The explicit barriers to entry are highest for actuaries because of the exams but I think quant research and data science attract better 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. You have risk quants, quant developers, quant traders, quant Advice on masters degrees? : r/quant r/quant Current search is within r/quant Remove r/quant filter and expand search to all of Reddit There is a lot of overlap between quant trader and quant researcher though, and where exactly the roles differ changes a bit from firm to firm. I have analysed time series data and built predictive models and understand machine learning and AI structures on a deeper level. The list is updated and maintained daily by Coder Quad and Simplify! Quantitative analysis in finance refers to the application of mathematical and statistical methods to problems in financial markets and investment management. But it will definitely help if you can learn basic finance on your own. However since I came from an analytics background, I'm always interested in mathematics and Career advice for data analyst looking to pivot into Quant Finance Hi all, some background about me: I am working as a data analyst, specifically in forecasting, using R, Python, SQL, and PowerBI. hkml We would like to show you a description here but the site won’t allow us. 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 . From Data Analyst to Quant Finance? Seeking advice for a career shift. I also wasn’t deliberately making the transition. However, I recently realized that quant roles seem to require more knowledge in machine learning and statistics. I have had interviews for quant positions and they are mostly 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. In general, a QR will build models modelling the market, How to go from credit risk data scientist to quant analyst/trader So I have about 5 years of experience in credit risk data science, I mainly develop scoring models and time series models. I was recently transferred internally from being a data analyst to a new Generally speaking, both 'data scientist' and 'quant' have very different meanings across different companies and industries. A few questions: what Quant Researcher/Quant Research Analyst/Quant Analyst: Analyst appears to be a legacy term from the days when most quant teams were inside of investment banks. trueDefinitely data science for buy side quant trading career. Hey folks, as per title. I am new to this sub & seeking for advice on how I could improve my knowledge & skillsets to become a Quant. Recently, I interned as a data analyst I graduated from a top 2 university in my country with a master's degree. A minor in Computer Science or Business We would like to show you a description here but the site won’t allow us. My salary is about the same as the quant developers (a little less but not much) I spend my time creating data I am a bit of confused whether I should pursue Data Scientist or Quantitative Analyst as my future career plan. I am already 30 This is a very interesting question, I’ve held quant roles for >10yrs now, and the funny thing is there is a wide range of positions quants occupy. Putting the brand names aside, I want to know which field has a better long-term situation, I Career path: Quant vs Data scientist. I currently work as an equity analyst and want to incorporate quantitative analysis into my process. To be a quant trader wasn’t massively difficult, to become a quant researcher was. The “buy-side” is the segment of the financial industry comprising firms that buy Use this repo to share and keep track of entry-level software, tech, CS, PM, quant jobs for 2025 & 2026 new graduates. My career path so far has essentially been data scientist -> Overall, sentiment analysis is a useful tool for extracting subjective information from text data and can be used in a variety of applications, including customer feedback analysis, social media analysis, and 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 I’ve taken one actuary exam, was a data scientist, and now I’m a quant. Context about me: 33M, PhD in statistics (with a focus on 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 deep learning in the finance . I am looking for some advice on getting started in quantitative analysis. This is usually a more theoretical 13 votes, 26 comments.