The maps are already on this site: who net-imports engineers, who bleeds them, and where quant talent spills into labs. Mira books the first interview, and licenses and exams stay your check.
A Quant Engineer brief goes in. Mira runs the search. Booked interviews come back on a calendar. I ranked on research-infra ownership and Python, not on a license filter we do not publish. FINRA and exams stay the employer's check. 149 cleared the bar and were contacted. The 6 who came back are first interviews against the corridor this site already mapped.
Quant engineer. Booked interviews out.
I ranked on research-infra ownership and Python, not on a license filter we do not publish. FINRA and exams stay the employer's check.
Both reports live under /reports/mapping/. They are talent-structure studies, not a FINRA registration directory.
Same loop as the rest of the product. The bar, the outreach approval, and the interviews stay with you.
FINRA, SEC, and any exam stay your check. We do not publish a native registered-search filter.
Search across 860M+ profiles, then a delivery lead, then a booked first interview.
You write a sharper bar from the reports. Mira books the first interview.
The maps are not a sourcing product. They are the structure of two markets we already measured: 30 fintech engineering orgs, and a 25-firm corridor between quant shops and AI labs, which you use to write a sharper bar while Mira books the interviews. Licenses, exams, and any FINRA or SEC check stay with you, because we do not publish a native registered-search filter.
The momentum leaderboard is 30 fintech companies and 25,860 current engineers: who net-imports, who bleeds, where founders spill over. The corridor report is 25 top quant firms against AI labs, who feeds whom. Those numbers are already on this site. They are not a FINRA directory and not a candidate list you download. Use them to write a sharper bar. Mira then searches 860M+ profiles and books the interview. Registration checks, if the role needs them, stay with you.
The momentum report is an engineering population. Mira runs the same specialist loop: brief, approved outreach, delivery-lead review, booked interview.
The corridor report is about who feeds whom, and you use it to write a sharper bar, which does not replace the interview.
You set whether a license is a must-have. We do not publish a native FINRA-registered search, so registration checks stay with the employer.
Search runs in 190+ countries. Employment in 130+ through Deel, without an entity, is the cross-border page.
A credit is one interested, interview-ready candidate. If nobody clears the bar, the credit stays unspent. Yearly billing saves 10 percent. Volume and specialized hiring is quote-only.
Monthly list prices, checked against the pricing page. Trial: 14 days, 3 New Roles, 12 Credits, no card.
Other desks and markets
A momentum leaderboard of 30 fintech companies covering 25,860 current engineers, and a Quant Finance x AI flow map across 25 top quant firms and AI labs. Both live under /reports/mapping/. Those are talent-structure reports, not a FINRA license directory.
No published product feature does that. You set the hiring bar, including licenses you require. Mira screens against the bar you approve. Registration checks, if the role needs them, stay with the employer.
The published maps are engineering-heavy because that is the population those reports measured. The product loop is the same for risk, compliance, and product roles: a brief, approved outreach, a delivery lead, a booked interview.
No. They are talent-structure studies: who net-imports, who bleeds, where the corridor runs. They are not a candidate export and not a FINRA directory. You use them to write a sharper bar. Mira then searches 860M+ public profiles and books the first interview. Registration checks, if the role needs them, stay with the employer.
Use the report to write the bar, then use Mira to fill the calendar.