Quantitative Researcher at Xantium (London, United Kingdom / New York, NY / Salt Lake City, UT)
Xantium · London, United Kingdom / New York, NY / Salt Lake City, UT·
Job description
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.
Why work at Xantium
- Culture: Values of collaboration, curiosity, and excellence. Teams operate with freedom and ownership, challenging the status quo.
- Work environment: Small team mentality with institutional resources – “startup velocity” within a large firm. Cross-team interactions are encouraged.
- Remote/hybrid/office policy: Not explicitly stated, but roles are listed for specific office locations (London, New York, Salt Lake City, Abu Dhabi), suggesting in-office presence.
- Notable perks: Investment in training and mentorship; sponsorship of prestigious mathematics competitions; involvement in charitable activities (e.g., Great Ormond Street Hospital).
- Engineering culture: Strong emphasis on quantitative development, infrastructure, and low-latency systems. Tech stack includes bash, Linux, SQL, Unix, C/C++.