XantiumInternshipDeadline not confirmed

Quantitative Researcher Intern

Xantium seeks Quantitative Researcher Interns for Summer 2027 in London and New York, suited for students with strong quantitative backgrounds.

Location

London

Education

Undergraduate

Industry

Finance

Format

In-Person

Deadline

not_stated

Last verified: 16 September 2026

quantitativeinternshipfinanceresearchmachine learningNew YorkLondon

About this opportunity

Xantium is seeking Quantitative Researcher Interns for its New York and London offices for Summer 2027. The role involves analyzing and evaluating financial and alternative datasets, researching and developing new techniques in machine learning, implementing quantitative trading signals or models, supporting trading operations, and maintaining modeling infrastructure. Compensation for New York interns ranges from $16,000 to $19,000+ per month, plus relocation.

Who is it for?

Ideal candidates are in their penultimate year of PhD studies in a highly quantitative field, but those pursuing bachelor's and master's degrees with strong math backgrounds and academic records are also considered.

What you will gain

Experience in quantitative research, exposure to a dynamic, meritocratic organization, and competitive compensation (New York: $16,000-$19,000+/month plus relocation).

Similar opportunities

Requirements

Penultimate year PhD students in quantitative fields preferred; bachelor's and master's degree students with strong math backgrounds and academic records may also apply.

How to apply

Apply online by submitting a resume/CV and, optionally, a cover letter via the Greenhouse job portal. Applicants will provide information about education, GPA/classification, preferred office, and other personal details.

Ready to apply?

Visit the official Xantium page to apply for this opportunity.

Always confirm eligibility, deadlines, and requirements directly on the official Xantium website before applying. Nentra does not guarantee the accuracy of third-party programme details.

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