Quantitative Researcher - 2027 Graduates

About the role

At Graviton, we don't believe the best trading strategies come from following established playbooks. They come from asking better questions. Why does a pattern exist? What is driving it? Is it real or just noise? Can it be explained, modelled and turned into an edge? As a Quantitative Researcher, you'll work on those questions every day. You'll investigate market behaviour, develop quantitative models, build and test hypotheses and turn insights into trading strategies, working alongside researchers and technologists in an environment where an idea on a whiteboard can reach live trading quickly. This isn't a role where the answers are in a textbook. The problems are open-ended, the data is enormous, and finding the answers is the job. Ideal candidates are rigorous thinkers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious, based in our Singapore, London, Amsterdam or US offices. What You'll Work On You'll work across quantitative research and systematic trading, taking ideas through the full lifecycle: question, hypothesis, experiment, model, validation, strategy, production. Depending on your team and research interests, your work would include: Discovering predictive patterns and sources of alpha from billions of market events Formulating hypotheses about market behaviour and designing experiments to test them Applying probability, statistics, optimization and machine learning to build predictive models and quantitative signals for systematic trading Designing robust backtests and statistical tests to distinguish genuine signals from noise Working with large and complex datasets to uncover patterns that aren't immediately visible Investigating market microstructure and how markets behave at different timescales Evaluating strategy performance, identifying weaknesses and continuously refining models Developing research infrastructure and AI-powered tools and agents that make experimentation faster and analysis deeper Working closely with technologists to translate research ideas into efficient, production-ready systems Exploring new techniques in machine learning, statistics and quantitative finance to uncover new sources of edge No two research problems are the same. Good research finds patterns. Great research understands why they exist. What Success Looks Like Successful researchers at Graviton discover new sources of alpha and turn them into robust trading strategies, build models that hold up under real market conditions and not only in backtests, develop a deep understanding of market behaviour, create research frameworks and tools that make the broader team more effective, work with technologists to take ideas from research into production, and communicate complex quantitative ideas clearly and rigorously. Your impact isn't measured by how many models you build. It's measured by the quality of the ideas you discover and what those ideas enable. Who We're Looking For We're looking for exceptional problem solvers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious. Degree in a quantitative discipline such as mathematics, physics, computer science, statistics, operations research or machine learning No active backlogs Strong programming skills in Python and/or C++ Solid grounding in probability, statistics, linear algebra and optimization, with experience in machine learning, statistical modelling or data analysis, whether through coursework, research or personal projects Comfort working with large, complex datasets, and strong analytical thinking A passion for applying quantitative thinking and rigorous research to solve open-ended problems in markets Excellent communication skills, with the ability to explain complex ideas clearly Prior exposure to quantitative research, algorithmic trading, market microstructure, competitive mathematics or machine learning is valuable, but we care more about how you think than whethe