I thought the exact same thing going into finance. If real money is on the line, surely they care about which techniques are most rigorously justified in a given model context, right?
Absolutely not. The incentive schemes from clients (who often don't actually fire bad investment managers when they should, and who also engage in chasing returns momentum despite the long and, by now, boring and uncontroversial history of that not paying off) don't actually punish inefficiency. It's a big political mess.
Really the best you can hope for is that they'll hire you for marketing purposes. Hey look, we brought in a shiny new expert in deep learning -- we're cutting edge, we swear! They won't actually let you do any real work with deep learning, of course. It will all be Excel jockey bullshit on factor models in which you'll do obviously fallacious things like directly compare the t-stats of two different model fits as a means for model selection. Maybe you'll write an ineffectual white paper on something slightly more advanced from time to time. But the big reason you're hired is to look good on paper and smoke cigars and drink brandy with the right person who wants you as a political darling in order to win arguments from authority about how you definitely should not migrate away from Excel/VBA.
This is not hyperbole, sadly.