Home › Companies › Hidden Events › NYC Summer INSIGHT 2026 - Trading & Research
NYC Summer INSIGHT 2026 - Trading & Research
Hidden Events · NYC · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Hidden Events |
| Title | NYC Summer INSIGHT 2026 - Trading & Research |
| Normalized title | - |
| Department / team | Quantitative Trading |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | In House Program |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-03-30 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hidden Events. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Quantitative Trading. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hidden Events |
| Source | 2cade068-1002-40a3-9fff-b1dd3a2b485e |
| ATS provider | Greenhouse |
Description
Our INSIGHT program is part of our commitment to give as many people as possible the chance to learn more about what we do.
In this multi-day program, we invite women, transgender, and/or gender-expansive individuals to learn about the roles within our firm and how we solve challenges at Jane Street — including the specific concepts and tools we use in our daily work.
As you explore opportunities within the program, you’ll notice that event topics and locations will vary. We offer classes and activities in three separate tracks: software engineering, trading, and strategy and product.
In the trading and research program , students will learn about mathematical and financial topics such as probability, market structure, and arbitrage through a combination of short classroom lectures, group games, and mock trading sessions. They will also get exposure to machine learning and how Jane Street traders use modeling and research in their everyday work.
The INSIGHT program does not require a prior knowledge of finance, only an interest in seeing what a career at Jane Street might look like. Please apply only to the location nearest you.
Our next INSIGHT event based in our New York office will run January 5-10, 2026. The deadline to apply is Tuesday, October 28th, 2026 at 5:00pm ET.
Full job record
| Job ID | adebbe3e4878be9918862f3a515ce1faffaf27d0 |
| Org ID | 05751f78-a9ed-4ee0-b336-0ef8e8e9e0d8 |
| Source ID | 2cade068-1002-40a3-9fff-b1dd3a2b485e |
| Board ID | 2cade068-1002-40a3-9fff-b1dd3a2b485e |
| Provider | greenhouse |
| Provider Job Key | 8469924002 |
| Title | NYC Summer INSIGHT 2026 - Trading & Research |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | NYC |
| Department | Quantitative Trading |
| Team | — |
| Employment Type | In-House Program |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/jshiddenevents/jobs/8469924002 |
| Apply URL | https://job-boards.greenhouse.io/jshiddenevents/jobs/8469924002 |
| First Seen At | 2026-05-29 22:57:32Z |
| Last Seen At | 2026-06-06 19:46:32Z |
| Last Checked At | 2026-06-06 19:46:32Z |
| Last Changed At | 2026-05-29 22:57:32Z |
| Inactive At | — |
| Source Posted At | 2026-03-30 14:50:56Z |
| Source Updated At | 2026-05-11 19:26:15Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=jshiddenevents/date=2026-06-06/2026-06-06T19-46-31-921Z-1031290be3b261d2d21acb272497395f93331a952baba44f6705aadf08916d30.json |
Event Fields
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