Quantitative Research Intern (Year-Round)

AXQ Capital is a global quantitative investment firm seeking a year-round Quantitative Research Intern. The intern will develop quantitative trading strategies, apply statistical and machine learning methods to market data, use agentic AI workflows, prepare datasets, and explore portfolio construction and optimization.

What you'll do:

• Developing and refining quantitative trading strategies under the guidance of experienced portfolio managers and researchers
• Applying tools from probability, statistics, and machine learning to uncover patterns and predictive signals in market data
• Leveraging agentic AI workflows to accelerate the research cycle — from hypothesis generation to automated backtesting and analysis
• Transforming raw, messy datasets into research-ready inputs that power alpha discovery
• Exploring portfolio construction and optimization techniques that combine individual strategies into robust, risk-managed portfolios

What they're looking for:

• Undergraduate or graduate student at a top-tier university in a quantitative field (e.g., mathematics, statistics, physics, engineering, computer science, financial engineering)
• Strong foundation in probability and statistics, including statistical modeling, time-series analysis, and machine learning
• Proficient in Python for data analysis and research
• Intellectually curious and quick to learn, with a genuine interest in quantitative finance
• Clear communicator who works well in a team and under pressure
• Publications in leading academic journals or conferences
• Strong results in national or international Olympiads (math, physics, or computer science)

Benefits:

• Strong performers receive full-time offers.
• We welcome applications for full-time internships during academic breaks as well as part-time roles during the academic year, based in our New York office.
• Each internship concludes with a presentation to senior management and the opportunity to earn a full-time return offer.