Quantitative research & machine learning

Quantitative Research & Machine Learning

Our Research Lab is a home for curious minds, where researchers apply deep mathematical, statistical and scientific rigour to tackle some of the most complex challenges in quantitative finance. We combine cutting‑edge technology with world‑class resources to create algorithmic platforms that accelerate innovation.

Using rigorous scientific methods, we analyse vast, complex datasets to uncover deep, actionable insights. Our platform enables researchers to test hypotheses, build models and receive instant feedback, accelerating innovation at every step. We then design and implement advanced optimisation techniques to extract maximum value from every idea.

• Research and develop quantitative models for financial markets.
• Analyse large, complex datasets to discover actionable insights.
• Build, test and optimise algorithmic trading strategies.
• Challenge the efficient market hypothesis using state‑of‑the‑art machine‑learning techniques.
• Collaborate with engineers and fellow researchers to deliver end‑to‑end solutions.

• Record of academic achievement in mathematics, physics, machine learning, computer science or engineering.
• PhD or post‑doctoral experience preferred but not mandatory.
• Strong background in statistics, programming (Python, C++, Java, etc.) and optimisation.
• No prior finance experience required; passion for data‑driven research is essential.

Alongside highly competitive compensation and an annual discretionary bonus scheme, we offer a wide range of benefits and perks tailored to your needs. From health and family to lifestyle and more, we take care of our people.

Complete a quantitative quiz (either a general aptitude test or an ML‑specific test). Review fundamentals in mathematics, statistics and programming. Prepare to discuss research problems and explain your approach to building and optimizing models.

Looking to make an impact at one of the world’s leading quantitative research and technology firms? Explore our open roles and apply now.