Home › Companies › PDT Partners › Quantitative Researcher
Quantitative Researcher
PDT Partners · New York, NY · Hybrid · Active · $190,000–$250,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | PDT Partners |
| Title | Quantitative Researcher |
| Normalized title | - |
| Department / team | Research / Strategies |
| Location | New York, NY, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $190,000–$250,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2024-10-28 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from PDT Partners. | 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 Research / Strategies. | Open |
| Work model jobs | Active Hybrid postings. | 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 | PDT Partners |
| Source | 5649c28f-4667-4aa0-8f8b-1c1763f626ef |
| ATS provider | Greenhouse |
Description
Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab)
Education: PhD in Math, Science, Engineering and other relevant disciplines
The PDT team - a quantitative investment manager - is hiring new or recent PhD graduates and experienced researchers (postdoctoral fellows, faculty, scientific lab, finance industry) to create and improve proprietary trading models and strategies while working closely with a deep bench of senior researchers.
We have a successful record of hiring, challenging, and retaining talented researchers from diverse academic backgrounds. Individuals interested in conducting innovative research with real-world impact seem to enjoy and excel at the types of problems we like to solve.
PDT Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually challenging environment that encourages collaboration and innovative ideas.
In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members work on the most critical and interesting problems, with a focus on research rigor and standards.
This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities:
Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
Contribute to the long-term success of our research-driven algorithmic trading business
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.
Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
Research intuition
Experience in programming (Python, R, Matlab, C++)
Excellent communication and collaborative white board skills
Meticulous and detail-oriented, and innately driven to understand issues deeply
Experience with/interested in working with large data sets
Self-motivated and highly-productive, with a strong sense of ownership and urgency
Able to work collaboratively and productively with others
Enjoy solving complex, difficult, real-world problems
Entrepreneurial and creative
Finance knowledge is not required or expected
The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices .
Full job record
| Job ID | 34ebf705eab571320546d28a90ff46d1199f03a8 |
| Org ID | 72e4ca55-e0b7-488c-a165-b11a9162c308 |
| Source ID | 5649c28f-4667-4aa0-8f8b-1c1763f626ef |
| Board ID | 5649c28f-4667-4aa0-8f8b-1c1763f626ef |
| Provider | greenhouse |
| Provider Job Key | 82459 |
| Title | Quantitative Researcher |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY |
| Department | Research / Strategies |
| Team | — |
| Employment Type | Full-time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | salary range for this role is between $190,000 and $250,000 |
| Salary Min | 190,000 |
| Salary Max | 250,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/pdtpartners/jobs/82459 |
| Apply URL | https://job-boards.greenhouse.io/pdtpartners/jobs/82459 |
| First Seen At | 2026-05-29 22:58:13Z |
| Last Seen At | 2026-06-06 20:24:00Z |
| Last Checked At | 2026-06-06 20:24:00Z |
| Last Changed At | 2026-05-29 22:58:13Z |
| Inactive At | — |
| Source Posted At | 2024-10-28 13:18:24Z |
| Source Updated At | 2026-05-26 19:47:16Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=pdtpartners/date=2026-06-06/2026-06-06T20-24-00-420Z-be73794cbf787aa38d94e25f3c26139b940784c2ad3a252a7eacd2c6087502ae.json |
Event Fields
{
"content_hash": "b4e9fe11abeda46bb02e87c97e9cda8603557341c39903aeddd33618b79838e0",
"source_hash": "6cd2152f9aa5702a116696a26750ba37885412b598cc5e4187c2993bcfe44c7c",
"last_changed_at": "2026-05-29T22:58:13.076Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "New York, NY",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"salary_max": 250000,
"salary_min": 190000,
"inferred_at": "2026-06-06T20:24:00.552Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "New York, NY",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "year",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"title": "Quantitative Researcher",
"offices": [
{
"id": 5885,
"name": "New York",
"location": "New York, NY, United States",
"child_ids": [],
"parent_id": null
}
],
"language": "en",
"location": {
"name": "New York, NY"
},
"metadata": [
{
"id": 33626,
"name": "Employment Type",
"value": "Full-time",
"value_type": "single_select"
}
],
"updated_at": "2026-05-26T15:47:16-04:00",
"departments": [
{
"id": 9495,
"name": "Research / Strategies",
"child_ids": [],
"parent_id": null
}
],
"company_name": "PDT Partners",
"requisition_id": 94081,
"first_published": "2024-10-28T09:18:24-04:00",
"application_deadline": null
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/34ebf705eab571320546d28a90ff46d1199f03a8?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/72e4ca55-e0b7-488c-a165-b11a9162c308JSONGET https://api.bluedoor.sh/job-postings/v1/sources/5649c28f-4667-4aa0-8f8b-1c1763f626efJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/34ebf705eab571320546d28a90ff46d1199f03a8/eventsJSON