As a quant, I can't say I've heard of a single quant I know who uses Julia. It very well could be promising, but firms will be very hesitant to switch from Matlab, R, Python, C++, and VBA
Do you have a link to the talk? It would not make business sense for Stefan to spend time replacing the small percentage, if it were indeed a small percentage. Actually, kdb+ is dominant everywhere on wall st, and the company mentioned in that article are retiring an old, discontinued version of k, not kdb+; perhaps that is the firm Stefan refers to? The debate about readability of k code has become boring - if you learn the language, you'll find it perfectly readable, elegant even.
https://www.youtube.com/watch?v=QRWZBWwBVR0 (I can't listen to the audio now so I'm not sure how much I misparaphrased.)
And, you're right, I shouldn't have conflated KDB+ with K.
> if you learn the language, you'll find it perfectly readable, elegant even.
Just comparing K to something like Python.. Though, personally, it only became (somewhat) readable after playing with APL and J for a year.
thank you for the link. It's at 12:28 in the talk where he mentions the firm is Conning, who used k for financial simulations for insurance. In this talk, he doesn't suggest he is working with other firms to replace k/q/kdb+.
Based on random sampling of those that contact me about such transitions, the latter is somewhat true. A couple have mentioned Julia but I wouldn't say it's the majority.
Definitely possible. Though I'm not sure why those firms wouldn't switch to a more mainstream stack. Most talented quants I've met prefer to code in Matlab, R, and Python, C++. VBA is of course inescapable in the life of a financier.
When competing for talent and desperate for maintainability, companies are unlikely to introduce tools that are not the industry standard.