It's important to mention that no quant researcher uses all of these skills on a daily basis. Most are specialised in a single area. It's all well and good to read into all of these topics (which takes a very long time), but specialising into one of the core areas will give you a big advantage in interviews. If you are a jack of all trades, but master of none, every interviewer will find someone more suited to that specific role than you. Additionally, many quants are hired with absolutely zero knowledge of the world of finance, but purely based on a mastery of the basic tools of maths with some coding sprinkled in. Don't waste your time learning the fancy stuff unless you're an expert in linear regression, basic data structures and algorithms, and probability brainteasers etc.
Thank you for this video brother. I was familiar with the general scope of quantitative finance, but never truly knew the breakdown of skills and knowledge needed to enter the field. It's really nice to see a video like this. Quant Finance might truly be what I'm aiming for at the end of my studies. It's a field where I can apply mathematics, programming, machine learning, and financial theory. I recently wrapped up winning an AI Innovation Ideathon for Formula One and have been debating where I could take my skill sets. All the topics listed in your video are concepts I am passionate about turning into a career. Thank you myquant. You opened my eyes to a field I never truly considered.
Good video. It's my third year at uni, I want to persue my master in actuarial sciences because its the most math/finance oriented master in my uni, good to see that we'll cover the subject that I haven't already seen
Add some excel/vba projects with real data like different VaR methods, mutlifactorial CAPM, Markovitz/Mometum portfolio and some pivot table aggregation automation to be able to do land any jobs near front office as a first internship if not directly quant - python volatility models implementation and staying up to date with recent research papers would be fine too
Excel is for bankers and accountants, because they dont (need to) know math and programming. Excel isnt bad but I say as someone who learned both in uni, R/python is just better and becomes mandatory as soon as you start working with real data because excel will crash as soon as you import the weekly prices of just one options contract. Big agree on the last part though, research is very important. Stand on the shoulders of giants, makes it easier to reach the fruits ;)
I saw a very similar chart made and I have been trying to follow it. My background is in chemical engineering and looking to start a position to get me more experience in the financial side, possibly as an investment analyst. I know basic python and sql however will need to brush up that but looking into statistics now
i already have the programming side of things done, and some of the mathematics, as i studied computer science in undergrad. i guess i gotta explore the other areas, if i ever do decide to go down this path. one key think i would probably add this is to start as early as possible! i'm in in 20s and sometimes i feel behind compared to other people, only because they started programming or whatever at like 12 or 13, and i only really started in undergrad.
Yeah I'm in the same boat, and feeling a little less proficient. Can you speak to what you've observed please? Like do you think it's worth following up if less apt? (I'm 20 atm and considering whether to pursue said path)
If you are not gonna start, what will you be in your 30’s? Is there anyone to stop you because of your age? I’m 23, just started my Bachelor and know nothing about anything.
Great input. Content on resources of each specific element of the roadmap would be greatly appreciated as finding resources for this content is very overwhelming… maybe book/ self learning recommendations for each area :)?
I want to be a data scientist , so i know quite a lot about it , but recently ive started seeing more math/tech mix jobs like actuaries , quants , machine learning engineers. There seems to be a lot of overlap and transferrable skills ,is it easy to pivot from data science to quantative analysis?
No it’s even harder, usually it happens the other way around, 1 thing he did not mention is that you can only break into a trader/research role while your in school through a internship, most the time quants leave to become data scientist and machine learning engineer, you have to pick one and gun for it because of its competitive nature, and there’s recruiting cycles as well not to mention. If your past your sophomore year of college and your just learning about quant, it’s already too late. Recruiting cycles follow the same as investment banking but more competitive
Thanks for the reply. The advice you can give me is probably quite limited since I'm based in the UK so everything is quite different , I'm currently 17 so the final years of high-school? I think what you are referring to is a 19 year old? Regardless, I think I have plenty of time , being a quant isn't my primary goal at the moment but I am fairly studious and on top of my education I'm self studying maths and coding technologies related to data-science extracurricularly and machine learning engineering which is what I envision for my future. This was more of a whimsical comment but when would you say is the cutoff point for me going into quantative analysis , at what point is there no sort of available pathway for me to reach that career?
Also I did read a little about what sort of skills are required for a quant and it seems like it's somewhat similar to data science as it is some sort of analysis that utilises machine learning models to spot patterns in data , but with an added layer of finance and currency market knowledge? Even though, I've been thinking I'm dead set on becoming a data scientistist for the previous year or so , recently my eyes have been opened and I've spotted quite a few high paying careers which are centered around what I love ; mathematics, which frankly I thought didn't exist. As a result of this , I'm not particularly acquainted with the technical prequisites aswell as the connections/network required for this profession. Any sort of knowledge you can pass on to me will be greatly appreciated. Thank you!
right now i’m completing my Bachelors in Business Administration, however i’ve taken course that have allowed me to learn R coding, Python, SQL and a bit Finance (which made me very interested in quant and model building). I’m missing a lot of the core math courses, so my question is can i even become a quant? I most likely will get my Masters im just not sure what degree i should get
Hey, i was in the same boat/ in the same boat right now. If possible, try to obtain a masters in Financial Engineering which is essentially preparing you for quant. I'd also suggests taking on internships as well as attempting projects that have a foundation that will require you to learn and utilize one or more of the programming languages, as well as financial concepts. This will show the employer that you can operate in both majors/ areas well. Also, I am a Finance major (looking to add a CS major, because i know that discipline wise.. self study isn't going to pan out for me, and I'm a math minor). Its never too late. Also for graduate school look into a quant finance degree aswell!!
@@harrytaylor4360 no financial engineering is a term for a new form of a finance degree which can be both bachelor or masters. It’s essentially pretty similar to what a quantitative finance degree gives you however it is more focused on the execution side of things, building tools and applications whereas quantitative finance is more focused on the mathematical modelling. Hope that helps… if not just google, there is plenty of articles about it
@@harrytaylor4360 haha, no no . Heres the "text book" or web definition of financial engineering: Financial engineering is an interdisciplinary branch of the investment industry that makes use of applied mathematics, statistics, computer science, financial theory, and economics to conduct quantitative analysis on the financial markets
What's the difference between statistics, econometrics and machine learning? Which bachelor and masters are the recommended path to become a quant? Ty in advance
Statistics Statistics is all about analyzing data, spotting patterns, testing hypotheses, and making predictions. It deals a lot with samples and sampling methods, like surveys and polls, to figure out what’s going on with a larger population. Econometrics Econometrics is basically statistics but for economics and finance. It’s used to study relationships between variables. For example, you might ask, “How will U.S. interest rates affect inflation over the next 5-10 years?” Econometrics gives you the tools to figure that out. Machine Learning (ML) Machine learning is about creating algorithms to find patterns and make predictions. What makes ML so powerful is the insane amount of data it can process and "understand." For instance, you can feed an ML model past financial data and crisis events, then task it with trying to predict something like the next 2008 stock market crash. Undergrad Degrees for Quants If you want to be a quant, you’ll usually go for a mix of two of these: math, finance, and/or computer science. Math: Because, well, you’re going to be doing a ton of it. Finance: You’ll be dealing with money and monetary systems, so this helps. CS: You need programming skills to work with models and algorithms. That said, it’s not a strict rule. A lot of quants come from physics backgrounds because physics degrees involve a crazy amount of math. Also the engineering discipline applies with the same rules, alot of math. Plus, foundational physics concepts tend to overlap with math and CS, so it’s all connected. Hope this helps!!
There's alot off really cool channels that are "quant-based" Example.) 1. Coding Jesus TH-cam Channel Link : www.youtube.com/@CodingJesus/featured Link to his video on Quant Textbooks/ resources: th-cam.com/video/cXNL4JKBL6w/w-d-xo.htmlsi=yM1O_zhRaqIbwW_n (I will say they are a bit pricey, so if you can find the means to seek them digitally (free pdf) , that would be cheaper) 2. Dimitri B. TH-cam Channel Link: www.youtube.com/@DimitriBianco (This channel is FULLLL of gems man, he does a great job explaining his mistakes in the quant field, how to avoid them, and resources and books to pick up)
Can you discuss how you came to the conclusion that this road map is best? Are you a quant or is this something you pulled together from twitter threads?
Step 0: Be in a college from which alumini are working in quant companies. Not covered in the roadmap. Thus, it is useless for everyone who is not already at Step 0. Peace !
@@masbuba search for people who are working in field then trying to find a pattern examining through their academic background. That's the answer I guess.
I just entered college and i'm not at like a t20 school or anything or have placed in any math competitions? Lets say i wanted to follow this roadmap, would the best course of action be to try and transfer out and into a higher school to pursue quant finance? While also learning and following the same map u present. Think there's a mental barrier thats stopping me because of all the noise ppl make saying u havent placed in like olympic math challences or amcs or whatever ykwim
Competitions are definitely good to have, but are by no means a requirement. Very few quants that I know actually placed well at these competitions. Good grades from a top school, however, are a requirement. The definition of "top school" depends on which tier of quant job/firm you're applying to. Doing well in your current school and then doing a masters at a better school is a perfectly reasonable path.
@@singularity3724 Hmm i see. I appreciate the response this is helpful. I like my current school but I think challenging myself to try and transfer out wouldn't hurt me in any way. Thanks for this.
Is networking prevalent in this field ? If you have the skills but don’t come from a target nursery, how to set your foot in. I am willing to take any suggestions. So far I tried Kaggle competitions (but they are sometimes scarce and erratic and I’m already finishing my masters), designing my own algorithms (but of course don’t have enough liquidity and commission fees are huge to run strategies). I don’t know if starting a career elsewhere (ML research for ex.) would impact my ability to land a quand job afterwards. If anyone is willing to help or mentor I’ll be more than happy to receive it.
Hi there I’m doing chemical engineering in my final year I wanna do something in quant is it advisable to do a masters in quantitative finance ? Here in the UK . Thank u for your time
You forgot the part about being second in that Math competition in China.
:)
The name's Zhang!
America’s angriest hedge fund
He doesn't even speak ENGLISH 🗣️🗣️‼️
是谁来着我也忘了😶🌫️
It's important to mention that no quant researcher uses all of these skills on a daily basis. Most are specialised in a single area. It's all well and good to read into all of these topics (which takes a very long time), but specialising into one of the core areas will give you a big advantage in interviews. If you are a jack of all trades, but master of none, every interviewer will find someone more suited to that specific role than you. Additionally, many quants are hired with absolutely zero knowledge of the world of finance, but purely based on a mastery of the basic tools of maths with some coding sprinkled in. Don't waste your time learning the fancy stuff unless you're an expert in linear regression, basic data structures and algorithms, and probability brainteasers etc.
my QUANTITATIVE 🗿!!!🗣️
I speak english.
Is this a new player class in Path of Exile?
This skill tree, looks very weird.
Thank you for this video brother. I was familiar with the general scope of quantitative finance, but never truly knew the breakdown of skills and knowledge needed to enter the field.
It's really nice to see a video like this. Quant Finance might truly be what I'm aiming for at the end of my studies. It's a field where I can apply mathematics, programming, machine learning, and financial theory. I recently wrapped up winning an AI Innovation Ideathon for Formula One and have been debating where I could take my skill sets. All the topics listed in your video are concepts I am passionate about turning into a career.
Thank you myquant. You opened my eyes to a field I never truly considered.
What platform was the ideathon on ?
This is why I switched from pursuing a BA in Econ to pursuing a BS in Computer Science! I feel I can still tackle fintech and hedge funds!
Good video. It's my third year at uni, I want to persue my master in actuarial sciences because its the most math/finance oriented master in my uni, good to see that we'll cover the subject that I haven't already seen
Add some excel/vba projects with real data like different VaR methods, mutlifactorial CAPM, Markovitz/Mometum portfolio and some pivot table aggregation automation to be able to do land any jobs near front office as a first internship if not directly quant - python volatility models implementation and staying up to date with recent research papers would be fine too
Excel is for bankers and accountants, because they dont (need to) know math and programming. Excel isnt bad but I say as someone who learned both in uni, R/python is just better and becomes mandatory as soon as you start working with real data because excel will crash as soon as you import the weekly prices of just one options contract.
Big agree on the last part though, research is very important. Stand on the shoulders of giants, makes it easier to reach the fruits ;)
I saw a very similar chart made and I have been trying to follow it. My background is in chemical engineering and looking to start a position to get me more experience in the financial side, possibly as an investment analyst. I know basic python and sql however will need to brush up that but looking into statistics now
i already have the programming side of things done, and some of the mathematics, as i studied computer science in undergrad. i guess i gotta explore the other areas, if i ever do decide to go down this path. one key think i would probably add this is to start as early as possible! i'm in in 20s and sometimes i feel behind compared to other people, only because they started programming or whatever at like 12 or 13, and i only really started in undergrad.
Yeah I'm in the same boat, and feeling a little less proficient. Can you speak to what you've observed please? Like do you think it's worth following up if less apt? (I'm 20 atm and considering whether to pursue said path)
If you are not gonna start, what will you be in your 30’s?
Is there anyone to stop you because of your age?
I’m 23, just started my Bachelor and know nothing about anything.
Great input. Content on resources of each specific element of the roadmap would be greatly appreciated as finding resources for this content is very overwhelming… maybe book/ self learning recommendations for each area :)?
Now with the release of o1, and o3 from OpenAI coming soon, we can definitely use em to do most of the math & coding heavy lifting! 🤗🥰
Not in real time you can’t
@ yea you can, literally takes like 5 seconds to open the app up in your phone and ask it 😭
@@GalaxyBigBird 5 seconds is too long in HFT
Try telling that to the interviewer lol
Now which courses should I take from coursera to become quantitative analyst/trader
I hope this is a joke. If you’re trying to learn from coursera you aren’t making it, you’re too far behind
@@sunnydays405 from where should I learn financial theory?
Great videos ...Machine Learning is important.
now make another video for all the resources out there for the specific skills.
Thanks for sharing this, I think I will make this roadmap my 2025 - 2029 goals.
I want to be a data scientist , so i know quite a lot about it , but recently ive started seeing more math/tech mix jobs like actuaries , quants , machine learning engineers. There seems to be a lot of overlap and transferrable skills ,is it easy to pivot from data science to quantative analysis?
No it’s even harder, usually it happens the other way around, 1 thing he did not mention is that you can only break into a trader/research role while your in school through a internship, most the time quants leave to become data scientist and machine learning engineer, you have to pick one and gun for it because of its competitive nature, and there’s recruiting cycles as well not to mention. If your past your sophomore year of college and your just learning about quant, it’s already too late. Recruiting cycles follow the same as investment banking but more competitive
Thanks for the reply. The advice you can give me is probably quite limited since I'm based in the UK so everything is quite different , I'm currently 17 so the final years of high-school? I think what you are referring to is a 19 year old? Regardless, I think I have plenty of time , being a quant isn't my primary goal at the moment but I am fairly studious and on top of my education I'm self studying maths and coding technologies related to data-science extracurricularly and machine learning engineering which is what I envision for my future. This was more of a whimsical comment but when would you say is the cutoff point for me going into quantative analysis , at what point is there no sort of available pathway for me to reach that career?
Also I did read a little about what sort of skills are required for a quant and it seems like it's somewhat similar to data science as it is some sort of analysis that utilises machine learning models to spot patterns in data , but with an added layer of finance and currency market knowledge? Even though, I've been thinking I'm dead set on becoming a data scientistist for the previous year or so , recently my eyes have been opened and I've spotted quite a few high paying careers which are centered around what I love ; mathematics, which frankly I thought didn't exist. As a result of this , I'm not particularly acquainted with the technical prequisites aswell as the connections/network required for this profession. Any sort of knowledge you can pass on to me will be greatly appreciated. Thank you!
What do you think about demand-supply balance after your spotting for math/tech mix jobs?
You forget data science & physics
You know everything bro like you have channel or like can you teach me bro everything
@usama.ict7 no I don't have to the moment
@@hackerborabora7212 do you anyone who can teach very very well
grateful for the wealth of information provided
right now i’m completing my Bachelors in Business Administration, however i’ve taken course that have allowed me to learn R coding, Python, SQL and a bit Finance (which made me very interested in quant and model building). I’m missing a lot of the core math courses, so my question is can i even become a quant? I most likely will get my Masters im just not sure what degree i should get
Hey, i was in the same boat/ in the same boat right now. If possible, try to obtain a masters in Financial Engineering which is essentially preparing you for quant. I'd also suggests taking on internships as well as attempting projects that have a foundation that will require you to learn and utilize one or more of the programming languages, as well as financial concepts. This will show the employer that you can operate in both majors/ areas well. Also, I am a Finance major (looking to add a CS major, because i know that discipline wise.. self study isn't going to pan out for me, and I'm a math minor). Its never too late. Also for graduate school look into a quant finance degree aswell!!
@@DormantBillionaireis it really called financial engineering? I thought that was a legal term for a kind of white collar crime
@@harrytaylor4360 no financial engineering is a term for a new form of a finance degree which can be both bachelor or masters. It’s essentially pretty similar to what a quantitative finance degree gives you however it is more focused on the execution side of things, building tools and applications whereas quantitative finance is more focused on the mathematical modelling. Hope that helps… if not just google, there is plenty of articles about it
@@harrytaylor4360 haha, no no . Heres the "text book" or web definition of financial engineering:
Financial engineering is an interdisciplinary branch of the investment industry that makes use of applied mathematics, statistics, computer science, financial theory, and economics to conduct quantitative analysis on the financial markets
No
how many books you need to read on each topic?
His name is Yang!
What's the difference between statistics, econometrics and machine learning? Which bachelor and masters are the recommended path to become a quant? Ty in advance
Statistics
Statistics is all about analyzing data, spotting patterns, testing hypotheses, and making predictions. It deals a lot with samples and sampling methods, like surveys and polls, to figure out what’s going on with a larger population.
Econometrics
Econometrics is basically statistics but for economics and finance. It’s used to study relationships between variables. For example, you might ask, “How will U.S. interest rates affect inflation over the next 5-10 years?” Econometrics gives you the tools to figure that out.
Machine Learning (ML)
Machine learning is about creating algorithms to find patterns and make predictions. What makes ML so powerful is the insane amount of data it can process and "understand." For instance, you can feed an ML model past financial data and crisis events, then task it with trying to predict something like the next 2008 stock market crash.
Undergrad Degrees for Quants
If you want to be a quant, you’ll usually go for a mix of two of these: math, finance, and/or computer science.
Math: Because, well, you’re going to be doing a ton of it.
Finance: You’ll be dealing with money and monetary systems, so this helps.
CS: You need programming skills to work with models and algorithms.
That said, it’s not a strict rule. A lot of quants come from physics backgrounds because physics degrees involve a crazy amount of math. Also the engineering discipline applies with the same rules, alot of math. Plus, foundational physics concepts tend to overlap with math and CS, so it’s all connected. Hope this helps!!
stats and maths are perfect, just get a super high GPA
Please drop the link of the programming in the description
Hello, i m a first year math undergrad, any good financial theory books that are good as an introduction to the subject?
There's alot off really cool channels that are "quant-based"
Example.)
1. Coding Jesus
TH-cam Channel Link : www.youtube.com/@CodingJesus/featured
Link to his video on Quant Textbooks/ resources: th-cam.com/video/cXNL4JKBL6w/w-d-xo.htmlsi=yM1O_zhRaqIbwW_n
(I will say they are a bit pricey, so if you can find the means to seek them digitally (free pdf) , that would be cheaper)
2. Dimitri B.
TH-cam Channel Link: www.youtube.com/@DimitriBianco
(This channel is FULLLL of gems man, he does a great job explaining his mistakes in the quant field, how to avoid them, and resources and books to pick up)
will make video about books soon
What software did you use for the mind map? Great video, thank you.
excalidraw
Obsidian canva maps are better
Thanks for the video
How do you suggest a learning style to cover all these topics
Go to college
Thoughts on AI's effect on quant?
Can you provide a road map for ML developer to get into this from scratch !! It will be really helpful
what do you mean by quant researcher , is that a major or a branch of math or what
60/100 complete
I have a bachelor in business, is master in applied stats a good choice to break into quant field?
u also need to have a quant heavy degree(masters) from the best universities.
what about Monte Carlo Methods ?
Thank you for the helpful video! Could you recommend some Coursera/others courses that might be useful?
Nice video. nevertheless I do not understand what quant is, could someone explain to me please, (thanks, im not a native English speaker)
Can you discuss how you came to the conclusion that this road map is best? Are you a quant or is this something you pulled together from twitter threads?
Looks a lot like Excalidraw, what kind of whiteboard app is that?
it is excalidraw :)
And what if I m stupid At a generational lvl ?
us
What notes app ur using ?
obsidian, but the app you see in video is excalidraw
@ ty
Step 0: Be in a college from which alumini are working in quant companies.
Not covered in the roadmap. Thus, it is useless for everyone who is not already at Step 0.
Peace !
Yeah, I guess without a proper degree pursuing this road-map may have high chances of failing. Am I right or not?
Which college or uni are those?
@@masbuba search for people who are working in field then trying to find a pattern examining through their academic background. That's the answer I guess.
what about machine learning?
Do you recommend the CFA designation? Is it necessary?
The CFA designation will not add any value to a quant CV. The only qualification necessary is a quantitative degree from a respected university.
I just entered college and i'm not at like a t20 school or anything or have placed in any math competitions? Lets say i wanted to follow this roadmap, would the best course of action be to try and transfer out and into a higher school to pursue quant finance? While also learning and following the same map u present. Think there's a mental barrier thats stopping me because of all the noise ppl make saying u havent placed in like olympic math challences or amcs or whatever ykwim
Competitions are definitely good to have, but are by no means a requirement. Very few quants that I know actually placed well at these competitions. Good grades from a top school, however, are a requirement. The definition of "top school" depends on which tier of quant job/firm you're applying to. Doing well in your current school and then doing a masters at a better school is a perfectly reasonable path.
@@singularity3724 Hmm i see. I appreciate the response this is helpful. I like my current school but I think challenging myself to try and transfer out wouldn't hurt me in any way. Thanks for this.
@@singularity3724 Thanks for the insight
THANK YOU
Thanks MQ
Does the author of the video know how to code HFT strategies???
Kindly share the link of the roadmap sheet
link is now in description
what did you make that chart in?
excalidraw
Is networking prevalent in this field ? If you have the skills but don’t come from a target nursery, how to set your foot in. I am willing to take any suggestions. So far I tried Kaggle competitions (but they are sometimes scarce and erratic and I’m already finishing my masters), designing my own algorithms (but of course don’t have enough liquidity and commission fees are huge to run strategies).
I don’t know if starting a career elsewhere (ML research for ex.) would impact my ability to land a quand job afterwards.
If anyone is willing to help or mentor I’ll be more than happy to receive it.
Hey could you talk about your background
Hi, can you do a roadmap for quant developer 🙏
yes i will
@@my_quantative_analyst gosh big thanks!
Do you work as a quant? Are you happy with your job?
Hi there I’m doing chemical engineering in my final year I wanna do something in quant is it advisable to do a masters in quantitative finance ? Here in the UK . Thank u for your time
Do you mind sharing the link to the roadmap?
link is in description
Is this for quant dev or trader??
Quant dev
until he zoomed outt!! within the first 5 seconds
Quantum coding
What app do you use for note-taking?
i use obsidian, but the website you see in video is excalidraw
look at my quant dog. aw hell naw we going to
not target school = COOKED. stop wasting ur time
:)
The graph is great, your presentation skills aren't. No charisma whatsoever.
yeah, my accent is awful
@@my_quantative_analystI think you did a great job!
thank you :)