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Quantitative Research Intern

AXQ Capital
CompanyAXQ Capital
CategoryScience & Research
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelIntern
SalaryNot stated by the employer
Posted30 Jun 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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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!
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