Live vacancy · Ref KQ-899398

Campus Quantitative Researcher, UG/MS (Intern)

An established proprietary trading firm · New York, United States · first seen today

What is the Campus Quantitative Researcher, UG/MS (Intern) role in New York, United States?

An established proprietary trading firm is hiring a Campus Quantitative Researcher, UG/MS (Intern) in New York, United States. It is an Internship level quant researcher seat, and the advert asks for C++, Machine learning, Python, Statistics.

Indicative base

$150k – $200k

KnowQaunt benchmark band

Location

New York, United States

Role family

Quant Researcher

Internship

Education

Not stated

Status

Open

Ref KQ-899398

First seen

today

Verified today

Early signaln=16

Benchmark sample for this role: 16 live vacancies across 7 employers, last confirmed 7 September 2026. Each vacancy is verified first-party and classified by a published rule set you can inspect.

Why this opportunity stands out

  • Verified first-party, with a dated audit trail on our validation page.
  • Re-checked every six hours; filled roles are removed automatically.
  • Median advertised base for this role is $175k – $250k (16 samples).
  • Apply confidentially; your CV is never forwarded without permission.

About the employer

This vacancy is with an established proprietary trading firm. We hold the employer's identity confidential until we have spoken with you about the role, so the advert below is written by our research team from the facts stated in the live posting - never copied from it.

What you would do

  • ·Own quant researcher work end to end, from idea to production.
  • ·Work directly with traders, researchers and engineers on the same P&L.
  • ·Measure, monitor and defend the performance of what you build.
  • ·Publish your reasoning so decisions can be checked by other people.

What they are asking for

  • ·A strong quantitative background - mathematics, statistics, physics, computer science or equivalent.
  • ·Practical experience with C++, Machine learning, Python, Statistics.
  • ·Comfort with probability, statistics and precise reasoning under time pressure.
  • ·Evidence of shipping work that other people relied on.

Skills in this advert

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