I've done math while developing 3D stuff, physics simulation and a lot of things - yet I never felt like my math skill mattered that much. And I really dislike theoretical math like in school.
Nowadays my lack of knowledge is most apparent in studying machine learning. There have been some very high level concepts employed, at least for me: Jacobian matrices, partial derivatives, tensors, etc. I've been able to fake that for a while, the algorithms get abstracted in the libraries. Yet the abstraction obscures a real understanding for me in how they work.
Did your school actually teach pure math?
I bet a lot of programmer types had similar frustrations to the computationally intensive version of math taught in many high schools when they knew that these processes could simply be automated.
There two areas where I've felt the need for advanced math most keenly during my software development career are: 1) Similarity scoring in information retrieval and recommendation engines. 2) DSP.