Quantitative Researcher

Axq; New York (NY); On-site; USD 85,000 - 130,000; Full time

Job summary

Axq in New York is seeking a Quantitative Researcher who will engage in various aspects of the investment process, including alpha generation and portfolio construction. The role promotes a collaborative environment where you will work closely with portfolio managers and other researchers.

The ideal candidate should have a degree from a top-tier university in a quantitative field and possess strong Python skills. This is an opportunity to leverage advanced research and trading infrastructure while contributing to a dynamic team.

Qualifications

• Degree in a quantitative or technical field from a top-tier university.
• Strong Python skills for conducting research.
• Self-motivated and highly productive.

Responsibilities

• Gain exposure to all aspects of the investment process.
• Work closely with the portfolio manager and quant researchers.
• Leverage research and trading infrastructure.

Skills

Python

Self-motivated

Productivity

Education

Bachelor's, Master's or PhD in quantitative or technical field

Job description

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Job Duties

As a Quantitative Researcher, you will gain exposure to all aspects of the investment process, including alpha generation, portfolio construction and trade execution. We have a collaborative environment in which you will leverage our top‑notch research and trading infrastructure and work closely with the portfolio manager, other quant researchers and developers.

Qualifications

• Bachelor's, Master's or PhD degree from a top‑tier university in a quantitative or technical field, such as math, physics, statistics, or computer science
• Self‑motivated and highly‑productive, with a strong sense of ownership and urgency
• Strong Python skills for conducting research