AXQ Capital
Quantitative Research Intern (PhD, Summer 2027)
New York · Internship · Posted Sep 3, 2026
- Education
- PhD student at a top-tier university in a quantitative field (e.g., mathematics, statistics, physics, engineering, computer science, financial engineering).
About the job
Conduct quantitative research on market data to develop trading strategies and predictive signals, using machine learning and agentic AI workflows, and explore portfolio construction.
What you'll do
- Develop and refine quantitative trading strategies and apply statistical and machine-learning methods to market data.
- Use agentic AI workflows to accelerate research, including hypothesis generation, backtesting, and analysis.
- Prepare raw datasets for research and explore portfolio construction and optimization.
What they ask for
- Be a PhD student at a top-tier university in a quantitative field.
- Have a strong foundation in probability and statistics, including statistical modeling, time-series analysis, and machine learning.
- Be proficient in Python for data analysis and research.
- Have clear communication skills and work well in a team and under pressure.
Nice to have
- Publications in leading academic journals or conferences.
- Strong results in national or international math, physics, or computer science Olympiads.
Pay
$75 to $100 per hour (hourly pay)
Tools
Python
AI focus
Use agentic AI workflows to accelerate research from hypothesis generation through automated backtesting and analysis.
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