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Are you an aspiring quant?
Are you dreaming of joining a financial firm to work on the state-of-the-art pricing models or trading strategies, to mingle with the great mix of both street-smart super achievers and rocket scientists, to earn big bucks and Risk Awards, and to prove to the world that Rust is the next C++?
Well, you need to manage your expectations and plan your career well. Did you know that only in banks there are at least five specializations of quant jobs and at least two on the buy side? Have you considered opportunities in Consulting or Fintech? Do you know how easy it is to transition between some specialisations, and that some other specialisations are, pretty much, for life?
Having math and programming skills is one thing, but knowing the profession is something completely different. To bridge this knowledge gap, consider taking a new and the first of a kind course: “Quantitative Analyst, Developer, Strat: The Profession”. Taught by an active front office quant, the course will reveal the aspects of the profession that are both relevant and are very rarely discussed, and are not taught at a uni.
https://www.qaprofession.com
The course will help you to choose the quant specialisation that is good for you, and not to waste time on something you don’t actually want to do. It will give you a fairly clear idea of what to expect during the first years, and also during the next 20 years or so. It may not be exactly what you expect studying Ito lemma, implementing PDEs or Monte Carlos or playing with scikit-learn.
It is not a book. Not even an eBook. It is a web site of engaging videos.
There are 34 pre-recorded videos of lectures, narrated against the presentation slides. A lecture lasts from roughly 5 minutes for the purely introductory ones to slightly below an hour. Section 5 on skills had to be split in two; think Kill Bill.
The presentations are neither math, nor bullet points, except for very few TOCs. There is no progressive handwriting, no handwriting at all. But the content is usually revealed progressively.
I made some effort to design these slides, to come up with, hopefully, useful diagrams and, quite importantly, to colour code the content. There is a lot of colour there. I leave it to those interested in such things to guess what the colours actually mean
To give an example, below is slide 4, Section 3.4 on Position and PNL reports. It shows dynamics of the PNL recognition by a trading desk. In the presentation, the slide is animated and walked through, of course.
Register to view the free introductory sections sampling this unique course, and also to learn about substantial student discounts.
Are you dreaming of joining a financial firm to work on the state-of-the-art pricing models or trading strategies, to mingle with the great mix of both street-smart super achievers and rocket scientists, to earn big bucks and Risk Awards, and to prove to the world that Rust is the next C++?
Well, you need to manage your expectations and plan your career well. Did you know that only in banks there are at least five specializations of quant jobs and at least two on the buy side? Have you considered opportunities in Consulting or Fintech? Do you know how easy it is to transition between some specialisations, and that some other specialisations are, pretty much, for life?
Having math and programming skills is one thing, but knowing the profession is something completely different. To bridge this knowledge gap, consider taking a new and the first of a kind course: “Quantitative Analyst, Developer, Strat: The Profession”. Taught by an active front office quant, the course will reveal the aspects of the profession that are both relevant and are very rarely discussed, and are not taught at a uni.
https://www.qaprofession.com
The course will help you to choose the quant specialisation that is good for you, and not to waste time on something you don’t actually want to do. It will give you a fairly clear idea of what to expect during the first years, and also during the next 20 years or so. It may not be exactly what you expect studying Ito lemma, implementing PDEs or Monte Carlos or playing with scikit-learn.
It is not a book. Not even an eBook. It is a web site of engaging videos.
There are 34 pre-recorded videos of lectures, narrated against the presentation slides. A lecture lasts from roughly 5 minutes for the purely introductory ones to slightly below an hour. Section 5 on skills had to be split in two; think Kill Bill.
The presentations are neither math, nor bullet points, except for very few TOCs. There is no progressive handwriting, no handwriting at all. But the content is usually revealed progressively.
I made some effort to design these slides, to come up with, hopefully, useful diagrams and, quite importantly, to colour code the content. There is a lot of colour there. I leave it to those interested in such things to guess what the colours actually mean
To give an example, below is slide 4, Section 3.4 on Position and PNL reports. It shows dynamics of the PNL recognition by a trading desk. In the presentation, the slide is animated and walked through, of course.
Register to view the free introductory sections sampling this unique course, and also to learn about substantial student discounts.
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