Quantitative Researcher PhD - 2027 Internship

Posted: 2026-10-19

At Graviton, every strategy, model and edge begins not with instinct, but with someone asking a better question than everyone else.

As a PhD Quantitative Research Intern, you'll spend 10-12 weeks pointing the research skills you've spent years building at markets. You'll collaborate with researchers and technologists to investigate market behaviour, test hypotheses, build predictive models and solve problems where the answers aren't obvious.

This isn't an internship where you observe from the sidelines, or re-run someone else's experiment. Outstanding work has the potential to shape production strategies and generate real, measurable returns.

Ideal candidates are researchers who want to see their methods meet live markets: mathematicians, physicists, statisticians and computer scientists who are excited to solve the hardest problems in our field, across our offices in the US, Singapore, Amsterdam and London.

You'll work on real research problems, not simulated exercises. Your work would include:

- Discovering predictive patterns from billions of market events

- Designing statistical models that identify trading opportunities

- Applying probability, optimization and machine learning to open research problems

- Running large-scale simulations and experiments on high-performance research infrastructure

- Designing experiments and backtests to evaluate hypotheses

- Building AI-powered research agents that accelerate experimentation

- Developing infrastructure for rapid, large-scale research

- Translating research into production-ready trading signals

- Exploring new ML, AI and quant finance techniques to find the next source of alpha

What You'll Learn Beyond the technical exposure, you'll learn what changes when research meets live markets: why a result that would survive peer review can still fail as a trading signal, how costs and capacity constrain an idea that looks clean on paper, and how to tell a model that is right from one that is right for the wrong reason. You'll be paired with a mentor, reporting manager and buddy, with regular code reviews and feedback throughout the internship.