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Quantitative Trading
Quantitative Researcher.
Research systematic signals, model market behaviour and turn statistically sound ideas into strategies that survive real execution constraints.
What we do
We develop systematic trading ideas by combining market microstructure, statistics and disciplined experimentation. Researchers work closely with developers and market practitioners from the first hypothesis through live performance review.
What you will do
- Formulate and test research hypotheses using high-frequency and alternative datasets.
- Build robust backtests that account for transaction costs, liquidity and execution constraints.
- Analyse signal decay, portfolio construction and risk across market regimes.
- Partner with engineers to translate successful research into production strategies.
- Monitor live performance and improve models using evidence from real trading outcomes.
What we are looking for
- Strong foundations in probability, statistics, optimisation or econometrics.
- Fluency in Python and experience working with large, noisy datasets.
- A rigorous approach to experimental design and avoiding overfitting.
- Clear communication and the ability to explain complex results simply.
- A degree in mathematics, statistics, computer science, engineering or a related quantitative field.
Prepare with clarity
Interview guide for this role
You’ll complete two technical evaluations. Depending on the role and stage, we may prefer to conduct a technical evaluation in person.
- Refresh probability, statistics and experimental design; be ready to reason from first principles rather than recite formulas.
- Expect a research exercise using imperfect market data, with emphasis on hypothesis design, validation and avoiding overfitting.
- Be prepared to critique a backtest and discuss transaction costs, signal decay and market-regime sensitivity.
- Choose one research project you can explain end to end, including what failed and how the evidence changed your approach.
Apply for this role
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RoleQuantitative Researcher
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