Quantitative Research Intern (PhD, Summer 2027)

About Us

AXQ Capital is a global quantitative investment firm. We build diverse sources of investment edge across geographies, asset classes, and trading horizons. Our strategies are grounded in rigorous scientific research and deep market understanding, strengthened by sustained investment in data, technology, and AI. Our team brings together exceptional talent from leading academic institutions and the world’s most respected quantitative firms. We foster a collaborative culture built on curiosity, rigor, and ownership, where the best ideas win and people grow with the firm.

We are growing quickly, and our interns are a core part of how we hire: you will work directly with senior researchers and portfolio managers on research that is meant to trade, and strong performers receive full-time offers.

Job Duties

Markets are noisy, competitive, and constantly evolving — finding a durable edge is one of the hardest problems in applied research. As a Quantitative Research Intern, you will take on that challenge directly. Over the course of your internship, you will work on one or two projects in areas such as:

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

Qualifications

PhD 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

We’d Love It If You Have

Publications in leading academic journals or conferences

Strong results in national or international Olympiads (math, physics, or computer science)

Program Details

This is a full-time, approximately 10-week internship based in our New York office during Summer 2027. We are targeting candidates graduating in 2027 or 2028. The internship concludes with a presentation to senior management and the opportunity to earn a full-time return offer.

The anticipated hourly pay range for this role is $75 to $100, depending on prior experience and qualifications.