Develop predictive signals from large datasets, applying statistical and machine learning techniques to research, implement, and monitor systematic strategies within a collaborative global quantitative investment environment.

What You'll Do:

Join a global quantitative research team focused on discovering predictive signals and transforming statistical insights into systematic strategies. You’ll work with large, diverse datasets to identify patterns, develop research methodologies, and translate findings into production-ready signals.

You’ll own the full research cycle, from generating and validating signals through implementation, monitoring, and ongoing model performance analysis.

Your responsibilities will include:

1. Develop high-quality predictive signals from large datasets.
2. Identify statistical patterns and systematic investment opportunities.
3. Research and validate new datasets and methodologies.
4. Share research findings with global quantitative teams.
5. Implement signals and datasets within execution platforms.
6. Monitor signal behaviour and model performance over time.
7. Lead research projects from signal generation through implementation.
8. Explore applications of machine learning, statistics, NLP, and AI.
9. Analyse datasets across multiple timeframes and market environments.
10. Collaborate with researchers, technologists, data scientists, and traders globally.
11. Continuously refine systematic strategies using data-driven research.

Why Join Us:

You’ll work at the intersection of quantitative research, data science, technology, and systematic investing, using large and diverse datasets to uncover patterns and develop predictive strategies.

The role provides significant ownership across the entire research lifecycle, allowing you to take ideas from initial signal discovery through validation, implementation, and ongoing monitoring.

You’ll collaborate with researchers, data scientists, technologists, and traders across global teams while working in an environment that encourages intellectual curiosity, experimentation, and innovative thinking.

About You:

You’re an experienced quantitative researcher, trader, data scientist, or machine learning professional with a strong track record of developing systematic strategies or predictive models.

You hold an advanced degree in a quantitative discipline such as data science, statistics, mathematics, physics, or engineering. Strong knowledge of statistics, machine learning, NLP, or AI is advantageous.

You’re highly analytical, detail-oriented, and comfortable exploring large datasets to uncover meaningful relationships. You have strong programming skills in at least one language such asPython, R, Matlab, C++, or C# .

You’re naturally curious, enjoy connecting ideas across different fields, and can work independently while contributing effectively within a collaborative global environment.

Strong communication skills are essential, particularly when working with technical specialists, data scientists, researchers, and traders.