Quant Research Intern: Build AI-Driven Trading Signals

Graviton Research Capital LLP; Amsterdam; On-site; EUR 17,000 - 26,000; Full time

Job summary

Graviton Research Capital LLP is offering a 10-12 week Quantitative Research Internship across our offices in Amsterdam, London, New York and Singapore. You’ll work alongside researchers and technologists to investigate market behavior, test hypotheses and build predictive models that inform trading strategies.

You’ll learn by doing: discovering predictive patterns from market events, building statistically rigorous models, and translating research into production-ready signals while receiving

Qualifications

• Enrolled as a full-time undergraduate, Master's or PhD student in a quantitative field and graduating in 2028.
• Strong programming skills in Python and/or C++; grounding in probability, statistics, linear algebra and optimization.
• Experience in machine learning, statistical modelling or data analysis through coursework, research or projects.

Responsibilities

• 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
• Building AI-powered research agents that accelerate experimentation
• Developing infrastructure for rapid, large-scale research
• Designing experiments and backtests to evaluate hypotheses
• Translating research into production-ready trading signals
• Exploring new ML, AI and quant finance techniques to find the next source of alpha

Skills

Python

C++

Probability

Statistics

Linear algebra

Optimization

Machine learning

Data analysis

Communication

Education

Full-time undergraduate, Master’s or PhD student in a quantitative discipline, graduating 2028

Job description

Graviton Research Capital LLP is offering a 10-12 week Quantitative Research Internship across our offices in Amsterdam, London, New York and Singapore. You’ll work alongside researchers and technologists to investigate market behavior, test hypotheses and build predictive models that inform trading strategies.

You’ll learn by doing: discovering predictive patterns from market events, building statistically rigorous models, and translating research into production-ready signals while receiving