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Hello,

I'm a deep learning specialist currently working at Tier 2 (maybe tier 1, but not FAANG) tech company. I think I have a pretty impressive background in deep learning and have created some state of the art algos in very competitive areas (such as text to speech). I also have experience building out great deep learning teams that lead to an acquihire. Also, I have a masters degree in pure math with a specialization in stochastic PDEs.

My specialty within deep learning is sequential models (such as TCNs, transformers, etc.) as well as graph neural networks. I should also add that I'm super motivated to learn about the field and like to devote myself to hard quantitative problems. I think that aligns better with quant culture as opposed to the 40hr/week tech culture.

What are my prospects of joining a quant trading firm to work on deep learning? I'd be interested in pioneering that work/team if it's not available at the firm, or focus on improving existing ML solutions by replacing them with deep learning, or taking a fundamentally different approach with deep learning (as is usually the case with graph neural networks).

I don't have any experience in quant trading, so I'd greatly appreciate any insight on this thinking or connections to the right people.

Thanks in advance