Quantitative Research Intern

Axq; New York (NY); On-site; USD 25,000 - 40,000; Part time

Job summary

Axq in New York seeks individuals passionate about quantitative investing for a role in developing and refining trading strategies. As part of a dynamic team guided by experienced portfolio managers, you will apply statistical and machine learning methods to uncover market opportunities.

Ideal candidates are enrolled in top-tier universities with a strong quantitative background. This opportunity is available year-round, catering to summer internships, winter-break positions, or part-time roles during the academic year.

Qualifications

• Strong quantitative background with a solid foundation in mathematical statistics.
• Familiarity with statistical modeling and time-series analysis.
• Ability to quickly learn and adapt new methodologies.

Responsibilities

• Develop quantitative trading strategies under guidance.
• Apply machine learning tools to explore market patterns.
• Collect and analyze data while maintaining research infrastructure.

Skills

Quantitative analysis

Statistical modeling

Machine learning

Data processing

Communication

Education

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

Tools

Python

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

• 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

• Prior experience developing quantitative trading strategies
• 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!