Machine Learning Quant Researcher – High Frequency Trading

Develop machine learning-driven trading strategies through large-scale data analysis, building predictive models that enhance execution performance and drive measurable impact across high-frequency trading environments.

What You'll Do:

Work at the forefront of quantitative research, developing advanced machine learning models and trading strategies that extract meaningful signals from large datasets and improve high-frequency trading performance.

Your responsibilities will include:

• Generating innovative, testable research ideas and hypotheses

• Conducting large-scale data analysis to predict market behaviour

• Designing and refining predictive machine learning models

• Applying statistical methods to validate research results

• Building features informed by market microstructure knowledge

• Collaborating with traders and engineers to implement production-ready models

• Ensuring robust testing frameworks to avoid overfitting risks

Why Join Us:

• Work on cutting-edge machine learning applications in trading

• Solve complex problems with visible, real-world impact

• Collaborate with talented researchers, traders, and engineers

• Contribute to the evolution of advanced trading strategies

• Be part of a highly collaborative, idea-driven research culture

About You:

You are a quantitative thinker with strong machine learning and statistical expertise. You enjoy solving complex problems, testing ideas rigorously, and collaborating with multidisciplinary teams to deliver meaningful results.

If you're driven to push the limits of machine learning in fast-moving environments and want your research to directly influence real-world outcomes, this is your chance to make a powerful impact.