u/madredditscientist

Next edition of my data viz series on the quant job market.
Data & code are open source: https://github.com/kadoa-org/quant-job-market

Sample size: 4k job postings from the career pages of the firms, classified into 6 categories:

• HFT / Latency
• Quant Research
• Strats / Algo
• Risk & Portfolio Construction
• PM
• Engineering & Platform

Excluded: any back office, sales, and compliance roles

Let me know what analysis I should look at next :)

Continuing my data viz series on the quant job market.
Sample size: 3,883 postings, 42 firms
Data & code are open source: https://github.com/kadoa-org/quant-job-market

Next up:

• onsite vs hybrid vs remote
• Skill co-occurrence
• AI adoption
• firm type deep dive

Let me know what else might be interesting :)

Tool: https://github.com/AdrianKrebs/ai-design-checker

Blog on methodology: https://www.adriankrebs.ch/blog/design-slop

Data source: submissions from https://news.ycombinator.com/shownew

Data & code is open source: https://github.com/kadoa-org/quant-job-market

Suggestions for improvements are welcome.

Some other stats I plan to look into:

• Posting velocity
• Skill co-occurrence
• AI adoption
• onsite vs hybrid vs remote
• asset classes: crypto vs tradfi vs prediction markets vs sport

Data & code is open source: https://github.com/kadoa-org/quant-job-market

Suggestions for improvements are welcome.

Some other stats I plan to look into:

• Posting velocity
• Skill co-occurrence
• AI adoption
• onsite vs hybrid vs remote
• asset classes: crypto vs tradfi vs prediction markets vs sport