u/specter_protocol

I'm 22, with a CS degree and currently working as a data scientist.

Even though I'm in a strong field, I've been seriously considering a move into finance — mainly IB, credit, or asset management.

I’m trying to figure out the most efficient way to make that transition. One option I’m considering is pursuing a second degree in Economics at a top university, mainly for recruiting access and networking.

A few questions for those in the industry:

• Does this kind of transition make sense given my background?
• Is a second degree actually a good route into IB/AM/credit, or are there more efficient paths (e.g., lateral moves, master's, networking)?
• How are candidates with technical backgrounds (data science/programming) perceived when targeting more traditional finance roles?

For context, I’m not aiming for quant roles — more interested in the core business side.

Would really appreciate any insights, especially from people who have made a similar move.

I recently started cubing again, about a month ago. I've had several ups and downs, but now I'm improving my times, aiming to get sub-30 avg. My PB is 21 seconds, and I'm wondering if it's worth starting to be color neutral. I know I'm still quite slow, but I think I've read that if you're going to start, the sooner the better. I'd like to hear your suggestions, and if it's really worth it, how to do it, if there's any suitable technique or routine.

By the way, I already work, and my time dedicated to the cube isn't much, but it's always nice to learn.