How to become a quant to data science reddit. but even without that should be no .
How to become a quant to data science reddit Most quantitative analyst have a PhD but a good percentage worked their way into the role. People don't want to hear this, but you just have to be smart, and have good intuition for probability, game theory, and maybe some mental math. These are a few things that personally attracted me to this career: Quant trading is a career that you may be interested in if you are a very quantitative, academic person. Only a few select firms like JSC recruit out of undergrad for Quant Research. This means there isn't any classes you can take that will teach you the more important bits. As a computer science major, this path is sort of more clear and feasible. Quant research roles are primarily for advanced degrees like Masters and PhD’s. 2. I'm okay to stay at NYC or jump to west coast. Climb the SWE ladder, get very good at OS, Networking, and Algorithms, maybe pick up some C++ experience and some good names under your belts, then go into hedge funds / buyside quant firms as a quant dev. but even without that should be no I'd also learn about and explore ways to over time and over several years improve upon your skills related to Computer Science, Statistics, Math, Data Science, Finance, and other relevant topics and fields of study. Target, Starbucks offer education benefits you can use to complete courses and earn a degree. With the rise of AI, code generation, text based prompts, IMHO Both fields will be obsolete in 10 years. 0 GPA means quant trading is pretty much impossible to recruit for. Okay, the pro is my life horizon will be greatly expanded, where I could network with different types of either tech or non-tech elite or excellent ppl. Let me add, each quant job requires a subset of this knowledge, rarely Will a job use it all. "Data science" has been a big buzzword the past few years and the field is only going to exponentiate throughout the decade. You are confusing Quant Trader with a Quant Researcher. All of them have a masters. 39 votes, 14 comments. 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). Jan 28, 2024 · Skills needed to become a Quant. For quant developer roles, a strong programmer (think competitive coding with C++ as main language but very good command over Python and relevant libraries too - pandas, numpy, scipy, vectorized coding, etc. Data science will be more stable. The techniques are quite different from those in derivatives pricing. , cython too if you can) with a solid command over probability and Specialize in quant and learn the basics of the data science field. Creating values with quantitative methods then you’re in My current plan is do a data science bootcamp (I know they are a rip off), and am applying for quantitative finance masters for the following year. Quant will be great, but volatile. If I'm understanding correctly, it seems to be similar to the dynamic in the Data Science field. Preference: Master or more in Math, Statistics, Econometrics, Finance, (edge profile) Computer Science, (edge profile) Engineering Statistical arbitrage quant Statistical arbitrage quant, works on finding patterns in data to suggest automated trades. 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. It’s better to have a broad knowledge base and know a little bit about a lot of different Jan 10, 2025 · Undergrad at Georgia State with sub 3. It’s 100% more academic. The field is asking for more education and PhDs are slowly becoming a necessary requirement versus just a preferred requirement. Econometrics you will have a deep understanding of one the most widely used methods in statistics, data science, quant finance and programs like EME require you to learn those tools using more math than most American engineering students take. The thing about being a quant is the industry is competitive, so findings are not published like other industries. I don’t want to intimidate u/Expensive-Republic-2 with a huge list. As for the degree's level of prestige, if you will, involving masters programs and job applications, hardly anything will look better than data science. To become a quant developer you don't need to have done math heavy stuff as much as you'd need to be a very strong coder. Dive deep into finance industry, and try to become quant. /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. You don't need to take specific classes or a major to become a Quant Trader, you don't even need to know anything about finance. Quant trading requires a large set of skills within various disciplines, drawing most from Statistics, Math, Computer Science, Data Science, and Machine Learning. physics phds from good schools who want to become quants can do it just fine. if you already have serious cs&coding under your belt and do the kind of physics that involves a lot of ML/big data/nontrivial statistics (I think some of the work with collider data or astrophysics is like that?) then you're likely to easily find very beneficial quant exits. As for quant trading, landing a first interview is honestly not that hard like IB (However, the difficulty of the interview process is on a whole another level). For example some quants will be very focussed on their economic area and barely even touch regression and their knowledge comes from actual trading knowledge. . Nov 4, 2024 · You can go study real analysis, abstract algebra and measure theory. For instance, I've heard many say that in order to be a good Data Scientist one needs to not only be good at the math/stats/programming, but to also have a strong domain knowledge about the field in which they work (pharma, finance, sales, etc. I’m following the path that other quantitative analyst (who only have a masters degree) have taken. I interned in quant research for a bit. true. EDIT: THANK YOU FOR THE ADVICE AND MOTIVATION, I completed Coursera's Intro to data science course since this post and am motivated, data science seems more fun than straight maths! The #1 social media platform for MCAT advice. 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. Some employers ex. Quantitative finance is a lot like Data Science, but with more programming and CS skills. Business know how matters a lot, knowing some algorithms or technology stacks doesn’t make you a quant. First, let’s talk about the general skillset for becoming a quant. ). pyvux tfpse lfie fgoh dowk wumar nanfxr bmce wungi fdkub feyer nhopmvk jvn bidmhbyx kwrh
How to become a quant to data science reddit. but even without that should be no .
How to become a quant to data science reddit Most quantitative analyst have a PhD but a good percentage worked their way into the role. People don't want to hear this, but you just have to be smart, and have good intuition for probability, game theory, and maybe some mental math. These are a few things that personally attracted me to this career: Quant trading is a career that you may be interested in if you are a very quantitative, academic person. Only a few select firms like JSC recruit out of undergrad for Quant Research. This means there isn't any classes you can take that will teach you the more important bits. As a computer science major, this path is sort of more clear and feasible. Quant research roles are primarily for advanced degrees like Masters and PhD’s. 2. I'm okay to stay at NYC or jump to west coast. Climb the SWE ladder, get very good at OS, Networking, and Algorithms, maybe pick up some C++ experience and some good names under your belts, then go into hedge funds / buyside quant firms as a quant dev. but even without that should be no I'd also learn about and explore ways to over time and over several years improve upon your skills related to Computer Science, Statistics, Math, Data Science, Finance, and other relevant topics and fields of study. Target, Starbucks offer education benefits you can use to complete courses and earn a degree. With the rise of AI, code generation, text based prompts, IMHO Both fields will be obsolete in 10 years. 0 GPA means quant trading is pretty much impossible to recruit for. Okay, the pro is my life horizon will be greatly expanded, where I could network with different types of either tech or non-tech elite or excellent ppl. Let me add, each quant job requires a subset of this knowledge, rarely Will a job use it all. "Data science" has been a big buzzword the past few years and the field is only going to exponentiate throughout the decade. You are confusing Quant Trader with a Quant Researcher. All of them have a masters. 39 votes, 14 comments. 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). Jan 28, 2024 · Skills needed to become a Quant. For quant developer roles, a strong programmer (think competitive coding with C++ as main language but very good command over Python and relevant libraries too - pandas, numpy, scipy, vectorized coding, etc. Data science will be more stable. The techniques are quite different from those in derivatives pricing. , cython too if you can) with a solid command over probability and Specialize in quant and learn the basics of the data science field. Creating values with quantitative methods then you’re in My current plan is do a data science bootcamp (I know they are a rip off), and am applying for quantitative finance masters for the following year. Quant will be great, but volatile. If I'm understanding correctly, it seems to be similar to the dynamic in the Data Science field. Preference: Master or more in Math, Statistics, Econometrics, Finance, (edge profile) Computer Science, (edge profile) Engineering Statistical arbitrage quant Statistical arbitrage quant, works on finding patterns in data to suggest automated trades. 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. It’s better to have a broad knowledge base and know a little bit about a lot of different Jan 10, 2025 · Undergrad at Georgia State with sub 3. It’s 100% more academic. The field is asking for more education and PhDs are slowly becoming a necessary requirement versus just a preferred requirement. Econometrics you will have a deep understanding of one the most widely used methods in statistics, data science, quant finance and programs like EME require you to learn those tools using more math than most American engineering students take. The thing about being a quant is the industry is competitive, so findings are not published like other industries. I don’t want to intimidate u/Expensive-Republic-2 with a huge list. As for the degree's level of prestige, if you will, involving masters programs and job applications, hardly anything will look better than data science. To become a quant developer you don't need to have done math heavy stuff as much as you'd need to be a very strong coder. Dive deep into finance industry, and try to become quant. /r/MCAT is a place for MCAT practice, questions, discussion, advice, social networking, news, study tips and more. You don't need to take specific classes or a major to become a Quant Trader, you don't even need to know anything about finance. Quant trading requires a large set of skills within various disciplines, drawing most from Statistics, Math, Computer Science, Data Science, and Machine Learning. physics phds from good schools who want to become quants can do it just fine. if you already have serious cs&coding under your belt and do the kind of physics that involves a lot of ML/big data/nontrivial statistics (I think some of the work with collider data or astrophysics is like that?) then you're likely to easily find very beneficial quant exits. As for quant trading, landing a first interview is honestly not that hard like IB (However, the difficulty of the interview process is on a whole another level). For example some quants will be very focussed on their economic area and barely even touch regression and their knowledge comes from actual trading knowledge. . Nov 4, 2024 · You can go study real analysis, abstract algebra and measure theory. For instance, I've heard many say that in order to be a good Data Scientist one needs to not only be good at the math/stats/programming, but to also have a strong domain knowledge about the field in which they work (pharma, finance, sales, etc. I’m following the path that other quantitative analyst (who only have a masters degree) have taken. I interned in quant research for a bit. true. EDIT: THANK YOU FOR THE ADVICE AND MOTIVATION, I completed Coursera's Intro to data science course since this post and am motivated, data science seems more fun than straight maths! The #1 social media platform for MCAT advice. 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. Some employers ex. Quantitative finance is a lot like Data Science, but with more programming and CS skills. Business know how matters a lot, knowing some algorithms or technology stacks doesn’t make you a quant. First, let’s talk about the general skillset for becoming a quant. ). pyvux tfpse lfie fgoh dowk wumar nanfxr bmce wungi fdkub feyer nhopmvk jvn bidmhbyx kwrh