Quantitative Research Intern

AXQ Capital; New York (NY); On-site; USD 41,328 - 68,880; Part time

Job summary

A global quantitative investment firm in New York seeks candidates for a role focused on developing quantitative trading strategies using advanced statistical techniques. Ideal for those enrolled in top-tier universities with a background in engineering or mathematics. Responsibilities include data analysis and support for research projects. Open year-round to applicants interested in internships or part-time roles during their studies.

Qualifications

• Strong quantitative background from a top-tier university.
• Solid foundation in mathematical statistics.
• Familiar with time-series analysis.

Responsibilities

• Develop and refine quantitative trading strategies.
• Explore market patterns using statistical tools.
• Maintain research infrastructure and analyze data.

Skills

Quantitative analysis

Statistical modeling

Machine learning

Python

Education

Undergraduate or graduate in engineering, mathematics, physics, or financial engineering

Job description

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

Work under the guidance of experienced quantitative portfolio managers and researchers to develop and refine quantitative trading strategies

Apply tools from probability, statistics, and machine learning to explore market patterns and edge

Support cutting-edge research projects and alpha-generation initiatives

Collect, clean, and analyze data; help maintain research infrastructure

Learn and apply our proven methodologies on a professional research platform

Qualifications

Enrolled in a top-tier university (undergraduate or graduate) with a strong quantitative background (e.g., engineering, mathematics, physics, financial engineering)

Solid foundation in mathematical statistics; familiar with statistical modeling, time-series analysis, and common machine-learning techniques

Proficient in Python and skilled at data processing and analysis

Passionate about quantitative finance, curious, innovative, and able to learn quickly

Able to work well under pressure; strong communicator and team player

We'd love if you have

Publications in leading academic journals or conference proceedings

Awards in national or international Olympiads (mathematics, physics, computer science)

This role is open year-round: we welcome applications for summer internships, winter-break internships, or part-time roles during the academic year.

Join us and jumpstart your career in quantitative investing!

Apply for this job