- Joined
- 5/5/24
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- 78
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- 18
QA Profession course (www.qaprofession.com) is a unique source of information about the realities of the jobs of a quant, a quant dev or a strat on buy and sell side, in consulting and in fintech. The course is entirely lecture-based, so easiest to learn, and it does not require interaction.
After the free introduction, the course explains the organizational structures of the named types of firms and it identifies 10 (!) different quant jobs among them. We talk about front office vs risk vs model validation, quants, qds vs strats, delta-one vs vega-one vs exotics and hybrids, with the breakdowns of the specific skills and daily routines.
Next quant reports used by the trading desks and PODs are explained in great detail, using animations where necessary. PNL, greeks, PNL explain and predict, scenarios and risk, regulatory risk reports. The slide on FRTB that attracted so much attention is from this chapter. Naive bump/recalc risk is contrasted with "synthetic" risk, which is now mainstream.
This is followed by a chapter on the quant libraries and systems. Among other things, the professional quant library layout is dissected , "the triplet" implementing a pricer function is explained, up to multi-pass forward/backward MCs used for XVA, and library bindings are illustrated, comparing those of QuantLib and Numerix.
Finally, there are chapters on the skills that are rarely talked about, e.g. how to beat ChatGPT in writing professional text, IQ vs EQ, as well as on career progression. You will see how the first 10,000 hours in the profession are spent and how long it will take to start earning (somewhat) big bucks as a quant (not a "quant trader") if this is what you are after.
As an addon, there is a chapter on "modelling at large", which is just a bit more technical, giving a 10k foot view of modelling for pricing, risk and trading strategy design.
And now there is a slimmed down version of the course, "Quanty Jobs", www.quanty-jobs.com, which is, essentially, chapters on the org structures, desk/pod reports and skills, common to quants and non-quants working for the market-related operations.
Learn at your own pace in the privacy of your home, not bugging senior people with trivial questions, but impress them by having miraculously acquired specific business knowledge, which indeed has not been widely available until now!
After the free introduction, the course explains the organizational structures of the named types of firms and it identifies 10 (!) different quant jobs among them. We talk about front office vs risk vs model validation, quants, qds vs strats, delta-one vs vega-one vs exotics and hybrids, with the breakdowns of the specific skills and daily routines.
Next quant reports used by the trading desks and PODs are explained in great detail, using animations where necessary. PNL, greeks, PNL explain and predict, scenarios and risk, regulatory risk reports. The slide on FRTB that attracted so much attention is from this chapter. Naive bump/recalc risk is contrasted with "synthetic" risk, which is now mainstream.
This is followed by a chapter on the quant libraries and systems. Among other things, the professional quant library layout is dissected , "the triplet" implementing a pricer function is explained, up to multi-pass forward/backward MCs used for XVA, and library bindings are illustrated, comparing those of QuantLib and Numerix.
Finally, there are chapters on the skills that are rarely talked about, e.g. how to beat ChatGPT in writing professional text, IQ vs EQ, as well as on career progression. You will see how the first 10,000 hours in the profession are spent and how long it will take to start earning (somewhat) big bucks as a quant (not a "quant trader") if this is what you are after.
As an addon, there is a chapter on "modelling at large", which is just a bit more technical, giving a 10k foot view of modelling for pricing, risk and trading strategy design.
And now there is a slimmed down version of the course, "Quanty Jobs", www.quanty-jobs.com, which is, essentially, chapters on the org structures, desk/pod reports and skills, common to quants and non-quants working for the market-related operations.
Learn at your own pace in the privacy of your home, not bugging senior people with trivial questions, but impress them by having miraculously acquired specific business knowledge, which indeed has not been widely available until now!