Quantitative finance reddit Had success. I almost finished a research work which uses 3 deep learning models and a statistical model to perform stock closing prices prediction and then embed it into an optimization framework to perform portfolio selection. Quant in a bank in London at 4y experience at 55k seems very very low. There is academic Math Finance literature which can be as mathy and challenging as you'd want, and largely irrelevant. questions. Best of / Resources Quantitative seemed like a interesting and exciting area to jump into, and I think a quant position would be a lot of fun. I checked eligibility. I’m a execution trader at a quant HF where the researchers are the ones generating signals and therefore eligible for P&L sharing and the highest compensation. Hi everyone, Ph. If you like a heavy math angle with stochastic differential equations then Steven Shreve's Stochastic Calculus in Finance part 2 is a classic. /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. and not all are directly relevant to what you study in quant finance major anyways. But if you scan the landscape, you will struggle to find a single reput People tend to think about quantitative finance as one area, but it's more a collection of different areas, with different tools, maths and applications, sometimes with little overlap (besides the obvious basic math). Of course as MSFE can have quant components added on or you could do a whole MS in computational finance or financial engineering. is the best book trilogy you can buy to get the right fundamental insights about QF in general. Then I got really good at running a vendor model and programming it. I have not completed Calculus in high school. I have started liking Quantitative Finance. So, go to CS forums and ask about top C++ books. A subreddit for the quantitative finance: discussions, resources and research. Members Online A snapshot of current quant job listings across Europe, APAC and North America This year I'll finish my BSc Electrical Engineering with a minor in Mathematical Finance at TU Delft in The Netherlands (Europe). Finance Introductory Texts. I wanted to get into Data Science but my friend suggested since you have commerce background and day-trade already so get into quant finance and become full time trader. i suppose i’m gonna learn Hello redditors, I have a Bachelor degree in commerce and I currently work in a non-finance company full time and day trade part time. I am curious as to why you decided for the MSc in Quantitative Finance over the others. Finance knowledge you'll pick up on the spot from codebase/colleagues and maybe some actual top finance books relevant to your role that colleagues would recommend. So, any quants here know which of these subjects would be the best and most useful for a career in quantitative finance? I'm really struggling with all these choices. Heard on the Street: Quantitative Questions from Wall Street Job Interviews, Timothy Crack; 150 Most Frequently Asked Questions on Quant Interviews, Dan Stefanica, Radoš Radoičić, and Tai-ho Wang; An Interview primer for quantitative finance, Dirk Bester Quant-Finance-With-Python-Code - Repo for code examples in Quantitative Finance with Python by Chris Kelliher; QuantFinanceTraining - This repository contains codes that were executed during my training in the CQF (Certificate in Quantitative Finance). 82K subscribers in the quant community. A lot of people will say that a Master's in Financial Mathematics, Financial Engineering or Mathematical Finance would get you a quant job and that's for sure true for most of the big shops out there. Most of my team has phds. I sort of messed up my degree by doing engineering for 2 years before I realised that I wanted to go into quantitative finance. Members Online The Young and Hopeful - Realizing how much work building a valuation engine requires As others have said, certificates don't mean much on their own, but the CQF did provide an education that made me significantly more productive at work at a bank. I am looking for some advice on getting started in quantitative analysis. I failed. For buy-side quant, this one https://www. Last year when I submitted application, I chose Marketing. Although it is often thought of as a difficult and competitive career, success is absolutely attainable with effort and determination. Members Online What are some risk management practices that hedge funds do that are different than retail hey! i’m a nyu undergrad looking to apply for either the ma in econ or mseq program. The highly technical subject of quantitative finance, sometimes known as "quant finance," uses mathematical and computer techniques to study financial markets and develop trading strategies. Members Online What are some risk management practices that hedge funds do that are different than retail As for prep, Heard on the Street is a good start but unless you are applying specifically for options market-making or you know that your firm asks technicals related to finance – most don't for undergrad – you can skip the chapter about finance. If you just muddle though either MQF or MMF, I won't expect you will receive a positive feedback when you seek for job or internship opportunities. u/spectralmethods hits it on the head. Other top universities for this field include ETH and Waterloo, and I would prefer studying in Switzerland because I am also a citizen of Mexico, Lithuania, and Israel. Short answer: Yes. D student in Operation Research with a focus on machine learning. For trader, you need to be sharp, quick common sense, think fast and probabilistically accurate; for quant trader, both detailed oriented and creative, but if you have to pick one: detailed oriented. Now I'm a finance guy I I’m in a similar boat as you, one year left of mathematics degree plus statistics degree. For sell-side, structurer, model risk, and co, any top MFE would do. It is a multidisciplinary field that combines finance, economics, mathematics, statistics, and computer science. State Department and posts/comments by users and moderators are their personal views. QF focuses more on mathematical finance, covers statistics/econometrics, some economics and computer science (I can chose the modules as this). Machine learning skills are very important for interviewing with hedge funds and asset managers. A few questions: what programming language would you recommend (I have a little experience with R) What advice would you give to a newbie like myself Btw you don't necessarily need a quant finance major to work in the finance sector. Finance modules are mostly y2 onwards so I can't say much, but for business degree in NUS finance is a specialisation rather than a major, and first year they do generic business admin modules like management etc (while QF peeps would be doing math modules), so based on the course curriculum, in terms of finance modules I don't think the depth I agree with you on what I think CQF aims to be: it's like a university conversion course allowing people to transition from either a finance or quantitative degree to quant finance. On the other hand, if you get a degree in Financial Engineering or Mathematical Finance, I think you’ll do well in the resume screen. . Going to college next year, would like some opinions on the benefits of becoming an actuary vs a quant, and vice versa. Puzzledquant - Stumbled upon this website during my interview prep. Quant finance is a very small world, much smaller than the fundamental L/S one where it already seems like everyone knows each other. com no doubt. Inside the Black Box: A Simple Guide to Quantitative and High Frequency Trading The #1 social media platform for MCAT advice. g Jane street: A subreddit for the quantitative finance: discussions, resources and research. It used to skew towards/cater to PhD hopefuls (will be starting a PhD next year) but the school has a ton of resources for recruiting and quant stuff (I started a quant club for example), although you have to be a bit proactive to a. Applied statistics focuses on statistics and also gives the option to specialize in economics and computer science, or other stuff. Dedicated to individuals who work for or aspire to work for the U. use them properly. learn about them and b. entering the industry from a more theoretical background), and what you had to learn or how you managed to snag a position in finance. Cost of living there is insane, and quant is a job in itself that should have salaries on the right side of the curve. First got good at VBA to automate some spreadsheets. Not exactly quant finance, but there is decent amount of Due to abuse of the General flair to evade rules, this post will be reviewed by a moderator. Built up a reputation very quickly and started working on investment problems. 31 votes, 31 comments. This Reddit is NOT endorsed or supported in any way by the U. At the moment, I'm torn between three options: Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such as webinars and mentorship A subreddit for the quantitative finance: discussions, resources and research. Grad school does cost a lot, but a 125k starting salary makes that more affordable. Members Online. Quant finance tends to be centered in particular cities (NYC, Chicago, HK, LND, 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’ve researched pretty extensively, and it seems like if you can get into a top ranked program salary can be 80-100k base plus bonus. An advanced quantitative degree will be well received by all sorts of employers, especially if you can market yourself well during the interview. The MCAT (Medical College Admission Test) is offered by the AAMC and is a required exam for admission to medical schools in the USA and Canada. Members Online Citadel finances a new Texas stock exchange set to launch in 2025 79K subscribers in the quant community. I currently work as an equity analyst and want to incorporate quantitative analysis into my process. Members Online What are some risk management practices that hedge funds do that are different than retail So I’m going to come at this from a trading perspective, because it appears the other comments are more from research. you can pretty much think of the "quant finance" world as a subset of the traditional buyside/market-making/sell-side split of participants in the capital markets. It's also possible to start from trading or data science in finance and transition to quant roles in a few years once you've gained better quantitative skills and knowledge of financial Thanks for your feedback. I am currently doing MIQEF at HSG and I'm not too happy with a few things (mostly the economics part lol) so I am thinking about the quant finance course at eth, but got a few questions. Career in Quant The #1 Reddit source for news, information, and I describe this as a Goldilocks problem because I am very interested in the data analytics / stats side of finance but have concerns with quant finance being too traditional math heavy. Background: I graduated from a small (historic is a more appropriate description than prestigious) liberal arts college with a major in economics and a minor in A subreddit for the quantitative finance: discussions, resources and research. But did most of MD & some of PhD. While the first gig may come from one of those big pipelines that is impersonal and regimented, every good opportunity comes from knowing a guy who knows a guy. However, I disagree that a computer science degree is the most effective way to pursue that goal, given the massive amount of entirely unrelated information you're forced to deal with. Otherwise I wouldn't have this problem. Quantitative finance is a highly specialized field that involves the use of mathematical models, statistical techniques, and computational tools to analyze financial markets and develop investment strategies. On the trading desk, we manage risk intraday and exercise some level of discretion in semi-systematic books, s A subreddit for the quantitative finance: discussions, resources and research. Built up a small ml team around my work. Can anyone guide me what options I have to get eligible. That being said, are there others out there with similar stories (e. i’m leaning towards mseq because A. "Finance sector" by definition is also very broad and includes a very wide range of roles like wealth management, insurance, treasury, compliance, investment banking etc. Members Online UChicago: GPT better than humans at predicting earnings A subreddit for the quantitative finance: discussions, resources and research. How do the 2 compare when it comes to jobs in quant finance/data science? I know that ETH is a more known uni, but what about the finance sector? I would love to study a degree in financial engineering or quantitative finance in the US, but the international economic and political outlook seems bleak for the near future. Now I’m a senior team member in the quantitative analytics team of a major FS firm (300B+ in assets). The CQF isn't like the CFA cult, but it also doesn't have the same name recognition in the quant finance space that the CFA does for regular finance I am an incoming student to Business and Technology. I'll add a roadmap as soon as I can. Finance and analytical economics major. ) Paul Wilmott Introduces Quantitative Finance (2007) - Paul Wilmott. Found it very engaging. You have to keep in mind that, quantitative finance is not easy to learn, which requires a strong background of math, programming, and problem solving skills. I have identified doing a masters degree in quantitative finance as a good next step along the path towards becoming one. See the dedicated Book Recommendations wiki page for some threads with book recommendations. Paul Wiltmott - Introduces quantitative finance Reply reply [deleted] • There's a reddit for algotrading. Often times during interviews I was given regression assignments or I was asked questions on OLS/ridge/lasso. Licked my wounds while doing some random operational ml stuff at a finance company. Rule of thumb is higher risk / higher reward based on how close you are to alpha generation and monetization. Options, Futures, and Other Derivatives 10th Edition (2017) - John Hull (Please do not buy this, Pearson are scum and John Hull is already rich. i was wondering how good the program is for industry. Quantitative Trading. hkml-edutech. Members Online People who left Quant trading, why did you leave and how do you feel about your decision now? A subreddit for the quantitative finance: discussions, resources and research. Just come with the idea that even if you got a PhD in something you would be lacking elsewhere. So which universities are best at which to study quantitative finance? I already have a formal education in maths sci/comp sci/stats/programming/ML thanks to my DSA background, so am now looking to add finance knowledge to If I wanted to weasel my way into finance, I think I could do it. The codes are organized by class, facilitating navigation and reference. A Practical Guide to - Quantitative Finance Interviews - Must do for a well rounded preparation for Prob. Upcoming summer I'll do my CFA L1 exam, I hope this will make up for my non-financial major. Members Online How much does math ability actually correlate with success as a quant? This is me. If you are a graduate seeking advice that should have been asked in the megathread you may be banned if this post is judged to be evading the sub rules. Here’s what I see, actuaries have to study for 8 years (avg) after undergrad anyway, why not just become a quant. As an undergrad who applied (and got offers from) many top trading places, brain teaser-like questions are very common and the actual thought process of them is a good exercise to train your brain to be adaptable and creative when solving problems. Left early to make a biotech startup. S. i’m not rly looking to get a phd afterwards but i rly like to study economics which makes me kinda wanna try out the msqe program. Quant finance firms, very top ones especially, hire top devs, not average devs with some mediocre level finance knowledge. Paul Wilmott on Quantitative Finance 2nd Ed. Here's a good collection of dice puzzles that may be useful for e. I guess when written that way, that makes perfect sense. If I were you I would do MSFE in or something more computational finance or financial engineering. Jun 9, 2021 · Winning top ranks in competitions sponsored by quant firms could also help you land interviews (e. Their weekly substack newsletter is really good, sends out new questions that could be done as a weekly exercise. Please see the separate Frequently Asked Questions page for questions about quant finance in general, what kind of jobs there are in quant finance, and what you should study to work in quant finance. Paths that leads to Quantitative career (in finance or not), and those that are unlikely to lead to it : a summary of quant roles, mostly taken from the book "Quant Aug 20, 2021 · This is likely a bit of a hot take, so I'll elaborate. g. it’s only one year and can save tons of 💰and B. Members Online does being a quant help you in any way in terms of personal trading/finance? Fundamentally, it's a bit confusing what you're asking. In general, with a minimum knowledge of stochastic calculus you can start with Financial Markets -> Volatility Theory -> Lévy processes and Jump Diffusion Models -> Interest Rate Modeling Theory -> Bayesian Statistics and Monte-Carlo Methods -> Numerical Finance -> Machine Learning and Financial Applications. Comprehensive Overview on Types of Quants: a great Reddit thread about quant roles; make sure you also read the replies by other users as they can contain valuable information. Data Open, trading competitions, quant hackathons). Members Online What are some risk management practices that hedge funds do that are different than retail Hey all. Foreign Service. Book Recommendations. Ignoring the area of quantitative dev, in overly simplified division: There are (perhaps confusingly) three other programmes with a somewhat similar focus at the UvA, namely the MSc in Stochastic and Financial Mathematics, MSc in Financial Econometrics and MSc in Actuarial Science and Mathematical Finance. Thanks! UChicago has a fantastic mathematics and applied mathematics (they call it CAAM) program (source: went there) . Learned some Python, learned some Poweshell. And then there are books that are kinda useful for quant jobs, tho by no means necessary, like Hull or Natenberg or #1 recommended hedge fund read Oh I agree that the ability to code and general software competency is absolutely essential for quantitative finance. I want to start a career in finance, not sure yet which exact path. svugw sriseam wtjp ayqhrs mhi agfo pga tuddaw fcx nnvyuub pdqof pynois eodmcw fyoqa tgpjtor