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Amsterdam, North Holland, Netherlands; London, England, United Kingdom; New York; Singapore
Remote only
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.
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:
No two research problems are the same. Good research finds patterns. Great research understands why they exist.
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.
We're looking for exceptional problem solvers who genuinely enjoy mathematics, programming and figuring out things that aren't obvious.
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 whether you've worked in finance before.
More than specific tools or techniques, we care how you think. We look for people who are curious enough to keep asking why, analytical enough to separate signal from noise, persistent enough to pursue difficult problems, intellectually honest enough to abandon an idea when the evidence says so, and humble enough to keep learning.
At Graviton, researchers sit alongside technologists on specialized trading teams that operate with significant autonomy. You'll have meaningful ownership of research problems from day one: forming your own hypotheses, challenging existing approaches and following the evidence wherever it leads, with the infrastructure and datasets to test ideas at scale, competitive compensation, and a culture where the best idea wins regardless of who proposed it.
Markets are among the most complex systems humans have ever created, and they never stop changing. Neither should our thinking. Every day, someone asks a better question and finds an answer nobody had. That someone could be you.
