Senior Quantitative Researcher

About the role

Analyze large and varied datasets to investigate market behavior, develop statistical models, and create systematic trading strategies and algorithms. Build robust, scalable research tools and methods spanning data extraction, analysis, model calibration, and reporting, and contribute through deployment and production analysis. Candidates should have a strong quantitative academic and research background in mathematics, machine learning, computer science, physics, or a related field, ideally at PhD level or equivalent to a research-oriented master's degree. They should bring substantial systematic trading research experience across the full strategy lifecycle, strong programming skills in Python and/or C++, a record of impactful results, and clear communication skills.