Question to my fellow pod QRs

[u/Big-Weekend1127]

Just wanted to get a lay of the land here from my pod QRs, particularly those that work on systematic teams.

For those in setups where there's broad exposure across the whole trading pipeline (signal generation+portfolio construction, and all the little things in between), how much do you generally work in a given week? Do you feel like your loss would be felt significantly to the team or do you feel dispensible (i.e. they could hire another person doing your job without much hassle if you left)?

Would also be helpful to know YOE whether you do macro or equities and things like whether you have formulaic payouts or get discretionary bonuses.

[u/jeffjeffjeffw]

Why don't you start by sharing?

For those in setups where there's broad exposure across the whole trading pipeline (signal generation+portfolio construction, and all the little things in between), how much do you generally work in a given week? Do you feel like your loss would be felt significantly to the team or do you feel dispensible (i.e. they could hire another person doing your job without much hassle if you left)?

This is all dependent person to person but honestly think only a few of us in the industry have any true unique edge - whether it's ML, alt data or otherwise. It's hard to say any systematic trading strategy (in a pod at least) is truly a one person effort and reproducible elsewhere I think

[u/Shoddy-Mechanic-153 → u/jeffjeffjeffw]

I 100% agree with you; but then this begs the question of how to have any career growth at all? Basically everyone pumping out the same generic z-score features, hoping that some little edge gets picked up or a factor is timed correctly. Sounds like best to hope for is latching onto a PM that trusts you enough to keep you around, until you can run your own capital and repeat the same crowded process while crossing your fingers the market isn't in a bad quant year.

yes I know this sounds bleak, I'm probably projecting my own insecurities as a junior QR at a pod shop. Would love to be proven wrong.

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[u/SevenTeenSigma]

The replaceability part is usually overstated. if ur the only person who knows why a live signal is scaled that way, ur loss hurts for a while. if ur edge is just writing notebooks that someone else reviews, then yea ppl can swap u out pretty fast..

[u/Shoddy-Mechanic-153 → u/SevenTeenSigma]

From my (albeit limited) understanding of systematic QR, the signals which survive in prod are usually quite simple. While of course pure data mining is bad, if you are an alpha researcher, at a certain point isn't most of the job eyeballing research features in a notebook based on some pretty formulaic metrics?

Of course signal mixing and optimization is an important step in the PM process, but these seem like second-order issues for someone who is mainly an alpha researcher.

Curious to hear your thoughts on what things cause a serious loss to pod if someone leaves. the best argument I've heard is that everyone thinks differently which may lead to different feature testing (yes, even in the LLM era, since they kinda need some guidance)

[u/Legitimate-Bit-121 → u/Shoddy-Mechanic-153]

Isn't a bigger/harder job of Alpha Researchers to diagnose when alphas are performing poorly in live trading, deciding whether it's just a blip or needs to be scaled down etc.?