Quantitative Researcher

Xantium

London, New York City, Salt Lake CityPosted 2 h agoDirect from company

LocationLondon, New York City, Salt Lake City
Work typeOn-site
Salary175k to 225k USD a year
Posted10 November 2026
SourceXantium's careers page (Greenhouse)

Live checkFirst seen 1 h ago; still listed on Xantium's careers page 1 h ago.

At a glance

EducationPhD or equivalent
Skills and toolsMachine learning

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Data Scientist
Research and Science
United States
United Kingdom
Mid-level
Data
Quantitative Research
alternative data
data analysis
financial data analysis
machine learning
mathematical modeling

About the role

Quantitative Researchers at Xantium are responsible for researching and developing mathematical models used to identify investment and trading opportunities in the global financial markets.

The process is collaborative, involving direct access to and guidance from senior quantitative portfolio managers and engineers with years of experience across all major markets. Our Quantitative Researchers learn a range of skills including various research
techniques as well as how to work with different types of data, markets and asset classes.

Examples of responsibilities 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

Quantitative Researcher applicants should have a PhD (or equivalent) that involved intense mathematics or statistics. We may consider candidates without PhDs, provided they can demonstrate strong competitive math backgrounds and strong academic records

Compensation: Quantitative Researchers in New York can expect to earn $175,000 to $225,000+ base. Total compensation for all Quantitative Researchers also includes a large annual bonus which is guaranteed in year one and based on employee and firm performance thereafter.

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