# US PhD Talent Community at IMC Trading

> United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aimc%3A4817125101 (read 2026-11-06).

## Facts (observed)

- Company: [IMC Trading](https://alderhq.app/companies/imc-trading)
- Location text: Chicago, United States; New York, United States
- Where it can be done from (inferred): United States (evidence: "Location: Chicago, United States; New York, United States")
- Posted: 2026-03-19 (232 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.eu.greenhouse.io/imc/jobs/4817125101

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Chicago, n 568): p25 $66k, median $95k, p75 $146k
- Recognised sponsor (NL): registered as "IMC Trading B.V." (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))

## Description (the employer's text)

IMC could be the next step in your research journey! Please complete the below form to stay in touch about relevant opportunities like internships and fellowships for PhD talent.

### About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aimc%3A4817125101 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
