A bit about me but I have a traditional fundamental long/short but worked at a top quant prop trading shop.
A worry I have in finding my next job is it feels like the only reason why I get interviews is simply the name of the last place that I worked. So once that is too far in the past, I am concerned that my profile will get less compelling. Or, at the least I want the next place I work to hopefully give me a set of experiences that are transferrable and in-demand. Or, at least, I want a way to choose between any offers I get that isn't simply based on which firm has a better name brand.
Because my background is a bit unusual and I am a bit of a career changer (with less of a network in trading / quant stuff), I am less familiar with what is considered to be the most in-demand. I wonder if there's certain types of tools, techniques, strategies, asset classes, languages etc that are considered to make you stand out.
Same experience here, I get some interviews only because of a job I had several years ago. I'm not sure what the "resume lifetime" of that job is, but it must be finite, just like college degrees. The senior managers in big firms are primarily concerned with keeping their own jobs and hiring people who make them look good, so it will always be like this. The basic stats/ML/software skills are completely commoditized, and beyond that a lot of things are very team and firm specific and can only be learned by working in that team.
Well, while basic ml/math skills are indeed commoditized, actual real performers are as hard to find as ever. In my team we have not really seen many profiles of people who meet the bar in, say, ml.
Just out of curiosity from an outsiders perspective, do you mind elaborating? what’s the min bar? How many layers would you put on ML in this specific regard? What specially do you seek / expect?
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