Confirm your eligibility
Check the degree, graduation window and work-authorization wording above against your own circumstances.
ROLE RESEARCH · YOUR APPLICATION BRIEF

DV Trading
InternshipUnderstand the evidence. Check your fit. Make your next application count.
Source checked 2026-10-19 · Job / program ID: 4719134005
THE APPLICATION BRIEF
Start with this role’s dated evidence, then confirm the details on the official posting.
Your next step
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01 · Sponsorship evidence first
Not stated — ask the employer
The reviewed current official posting does not explicitly state future immigration sponsorship support. Ask recruiting for this exact role; do not treat employer history, international recruitment or existing CPT/OPT eligibility as a promise.
Sponsorship evidence reviewed 2026-10-19. This does not refresh the job posting check below.
Evidence scope: Role-level support has not been established. A program policy and historical employer records do not establish support for every role.
02 · Requirements and your timeline
No fixed application closing date stated in the reviewed posting. Official listing may close when filled; confirm before applying.
Quantitative degree student graduating by Summer 2028; Python/Excel, trading/model-development interest and communication; onsite New York five days weekly.
Missing dates stay unconfirmed. We do not infer interview schedules, rolling deadlines or a typical hiring timeline for this role.
Graduation dates are compared only where exact bounds are stated. We do not infer CPT/OPT eligibility, work permission or H-1B timing from your academic year.
03 · Separate employer check
Hiring legal entity not independently confirmed
No hiring-entity match to official E-Verify records verified in this review; this does not establish non-enrollment.
E-Verify participation is separate from H-1B sponsorship and the other STEM OPT requirements. An employer statement or an unmatched name is not a completed legal-employer verification.
04 · Prepare with a purpose
Practice probability, statistics, Python and hypothesis-driven market-data research. Explain out-of-sample validation, risk and failure modes in a reproducible project; quantitative-finance interviews differ from general business analytics.
Check the degree, graduation window and work-authorization wording above against your own circumstances.
Use the recorded requirements to choose relevant projects and experience for your résumé.
Connect the role to the company’s products and business before preparing interview examples.
Job / program ID: 4719134005 · last checked 2026-10-19
Manually reviewed current employer-published Greenhouse API job description and eligibility clauses; official application entry retained. No login, form entry or submission.
Present in the employer's current official public job-board API with a published role/application URL at check. No application or form submission was performed.
Official source ↗This is a dated research snapshot. No automatic monitoring or email alert is enabled by saving this record.
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