We’re hiring a Data Scientist to join a leading systematic investment firm’s data platform team.

This role sits at the intersection of data engineering and quantitative research, helping deliver high-quality datasets and scalable infrastructure that power systematic trading strategies across global markets.

You will work closely with researchers and investment teams to onboard new datasets, build and maintain robust data pipelines, and transform raw data into structured features used in predictive modelling.

The role also involves collaborating with external data vendors, monitoring data quality, and developing automated checks and reporting to ensure reliability in a live trading environment.

Ideal candidates have strong programming skills in Python and SQL, a background in a quantitative field such as statistics, computer science, or financial engineering, and an interest in working with large datasets in a research-driven environment.

Experience with tools such as AWS, Linux, or workflow orchestration systems is helpful but not required.

If you enjoy solving complex data problems and working closely with quantitative teams in a fast-paced environment, please apply.