I categorize myself as a product data scientist / technical data analyst. That is, most of what I do now is experimentation (A/B, hypothesis testing), and very light ML (up to regressions). As far as technical skills, much more heavy on Python and SQL to build data pipelines and summarize metrics.
I'm curious as to what opportunties would exist at funds where my capacity is not so much a quant researcher, but someone who maybe is technical enough to be self-sufficient but also work with investment professionals on understanding data and how it may be used in decisioning ('quantamental', or something like that)
Are there many positions out there that would find such a profile useful, and how would they go about searching for them? (would you also say it's more equity-specific vs. other asset classes)?
Some of the larger funds may have data teams that look at usability of data or at extracting useful
patterns from data that PMs may use. I'd recommend having a look at their websites.
Sed quia repudiandae maxime provident. Inventore sequi quia est voluptatum rerum non. Vero ut quisquam assumenda cumque.
Tempora dolorem esse ipsum voluptas. Eum ut nam consequatur repellat iusto perspiciatis vel. Deserunt possimus iure sed voluptatem cupiditate ex in. Cumque architecto eius ab iusto ipsam ratione. Ad aspernatur nulla voluptatem delectus. Vel doloremque consequatur cumque sint. Soluta velit facilis eum nihil ex eos.
See All Comments - 100% Free
WSO depends on everyone being able to pitch in when they know something. Unlock with your email and get bonus: 6 financial modeling lessons free ($199 value)
or Unlock with your social account...