Graduate Quantitative Researcher

Currently pursuing a PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or related field of study
Able to commence full-time employment in 2025 or 2026
Deep understanding of machine learning, probability, and statistics, with practical experience in areas such as time series analysis, pattern recognition, portfolio optimization, market impact modelling and NLP
Approach data analysis with rigorous a thought process and strong intuition
Extensive experience with modern deep learning architectures and a solid foundation in classic machine learning techniques.
Creative thinker who is driven and eager to solve challenging problems collaboratively
Proficiency in a programming language (Python, C, C++) is highly desired

Conduct hands-on research to design, develop, and apply machine learning algorithms
Analyze large, complex datasets to uncover statistically significant patterns and market behavior insights
Implement and deploy new models into production
Maintain best practices to keep our systems logical and consistent
Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
Collaborate closely with a multidisciplinary teams to enhance machine learning capabilities and trading strategies