# Quantitative Researcher Intern at Xantium

> United Kingdom · Intern · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Axantium%3A4371217009 (read 2026-11-05).

## Facts (observed)

- Company: [Xantium](https://alderhq.app/companies/xantium)
- Location text: London, England, New York, New York; London; New York City
- Where it can be done from (inferred): United Kingdom (evidence: "Location: London, England, New York, New York; London; New York City")
- Posted: 2026-08-17 (80 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.greenhouse.io/xantium/jobs/4371217009

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 93): p25 $42k, median $79k, p75 $96k

## Description (the employer's text)

Xantium is seeking Quantitative Researcher Interns for our New York and London offices for Summer 2027. Ideal candidates will be in their penultimate year of their PhD studies in a highly quantitative field. We may consider individuals pursuing bachelor's and master’s degrees, provided they can demonstrate strong competitive math backgrounds and strong academic records.

Examples of responsibilities of full-time Quantitative Researchers include:

- Analyzing and evaluating financial and alternative datasets
- Researching existing and developing new techniques in machine learning
- Researching, developing and implementing quantitative trading signals/models
- Developing and maintaining modeling infrastructure
- Supporting production trading operations
If working in a dynamic, nimble environment within a flat, meritocratic organization excites you, please get in touch. What could we achieve together? Let’s find out.

Compensation: Quantitative Researcher Interns in New York can expect to earn $16,000 to $19,000+ per month, plus relocation.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Axantium%3A4371217009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.