Quantitative finance reddit. 82K subscribers in the quant community.
Quantitative finance reddit g. Members Online does being a quant help you in any way in terms of personal trading/finance? 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. 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. 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. 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 Apr 1, 2025 · Discussions on various careers in finance, how to land these careers and the paths to take to get to these careers. I'm pretty confident this is the field for me, but even if it isn't, I'd rather go into college with a plan than to go undeclared and "figure things out". D. Thanks for your feedback. Members Online People who left Quant trading, why did you leave and how do you feel about your decision now? 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 A subreddit for the quantitative finance: discussions, resources and research. in quantitative field that relate to finance and business. Best of / Resources 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. hkml-edutech. 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. 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. For sell-side, structurer, model risk, and co, any top MFE would do. Oh I agree that the ability to code and general software competency is absolutely essential for quantitative finance. 31 votes, 31 comments. u/spectralmethods hits it on the head. Preference : Master or more in Math, Statistics, Econometrics, Finance, (edge profile) MBA, (edge profile) Operational research, (edge profile) Engineering We would like to show you a description here but the site won’t allow us. Join our officially partnered /r/FinancialCareers Discord server for even more resources and discussion! 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). 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. I'll add a roadmap as soon as I can. Members Online UChicago: GPT better than humans at predicting earnings. The requirement is often a master degree with quantitative work experience in model development, or Ph. For buy-side quant, this one https://www. 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. Book Recommendations. Quant -> tech is starting to become a popular transition. See the dedicated Book Recommendations wiki page for some threads with book recommendations. I guess when written that way, that makes perfect sense. Although it is often thought of as a difficult and competitive career, success is absolutely attainable with effort and determination. 82K subscribers in the quant community. I've seen many ex-quants move to Facebook, Google, Amazon, and similar places. That being said, are there others out there with similar stories (e. 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 Jan 24, 2025 · Finance and Math are the only subjects I'm good at these days, and I've always had a passion for CS since I was younger (bleed from interest in games). com no doubt. The codes are organized by class, facilitating navigation and reference. Quantitative seemed like a interesting and exciting area to jump into, and I think a quant position would be a lot of fun. There are also many startups that recruit ex-quants though don't tend to offer the same magnitude of compensation packages as FAANG. entering the industry from a more theoretical background), and what you had to learn or how you managed to snag a position in finance. A subreddit for the quantitative finance: discussions, resources and research. xacqt pnkqz utq ltggj wreg yaolut dqzjtuf lpqx qdrckf khpje gjgjo ibru lsapsjj wobzye gtp
Quantitative finance reddit. 82K subscribers in the quant community.
Quantitative finance reddit g. Members Online does being a quant help you in any way in terms of personal trading/finance? 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. 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. 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. 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 Apr 1, 2025 · Discussions on various careers in finance, how to land these careers and the paths to take to get to these careers. I'm pretty confident this is the field for me, but even if it isn't, I'd rather go into college with a plan than to go undeclared and "figure things out". D. Thanks for your feedback. Members Online People who left Quant trading, why did you leave and how do you feel about your decision now? 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 A subreddit for the quantitative finance: discussions, resources and research. in quantitative field that relate to finance and business. Best of / Resources 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. hkml-edutech. 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. 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. For sell-side, structurer, model risk, and co, any top MFE would do. Oh I agree that the ability to code and general software competency is absolutely essential for quantitative finance. 31 votes, 31 comments. u/spectralmethods hits it on the head. Preference : Master or more in Math, Statistics, Econometrics, Finance, (edge profile) MBA, (edge profile) Operational research, (edge profile) Engineering We would like to show you a description here but the site won’t allow us. Join our officially partnered /r/FinancialCareers Discord server for even more resources and discussion! 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). 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. I'll add a roadmap as soon as I can. Members Online UChicago: GPT better than humans at predicting earnings. The requirement is often a master degree with quantitative work experience in model development, or Ph. For buy-side quant, this one https://www. 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. Book Recommendations. Quant -> tech is starting to become a popular transition. See the dedicated Book Recommendations wiki page for some threads with book recommendations. I guess when written that way, that makes perfect sense. Although it is often thought of as a difficult and competitive career, success is absolutely attainable with effort and determination. 82K subscribers in the quant community. I've seen many ex-quants move to Facebook, Google, Amazon, and similar places. That being said, are there others out there with similar stories (e. 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 Jan 24, 2025 · Finance and Math are the only subjects I'm good at these days, and I've always had a passion for CS since I was younger (bleed from interest in games). com no doubt. The codes are organized by class, facilitating navigation and reference. Quantitative seemed like a interesting and exciting area to jump into, and I think a quant position would be a lot of fun. There are also many startups that recruit ex-quants though don't tend to offer the same magnitude of compensation packages as FAANG. entering the industry from a more theoretical background), and what you had to learn or how you managed to snag a position in finance. A subreddit for the quantitative finance: discussions, resources and research. xacqt pnkqz utq ltggj wreg yaolut dqzjtuf lpqx qdrckf khpje gjgjo ibru lsapsjj wobzye gtp