Senior Quantitative Researcher

About the role

Research and develop trading and investment strategies for international and secondary markets, using programming and analytical tools to drive data-based strategy development and continuous improvement. Analyze market microstructure, trading, fundamentals, events, and other multivariate data to identify patterns and build diversified quantitative strategy models. A bachelor's degree or higher in finance, mathematics, computer science, engineering, or a related field is required, along with familiarity with Python, C++, or another high-level programming language. The posting seeks at least three years of quantitative research experience in financial markets, such as at a hedge fund or similar organization, as well as strong communication and learning abilities.