Responsibilities
* Develop advanced NLP-based predictive models and signals to drive systematic strategies.
* Analyse diverse, large-scale datasets to uncover statistical insights and opportunities.
* Collaborate with peers to share research methodologies, findings, and workflows.
* Integrate signals and datasets seamlessly into the global execution platform.
* Regularly evaluate and refine model performance and signal efficacy.
* Take ownership of the entire research process, from concept development to live implementation.
Requirements
* An advanced degree in a quantitative discipline, such as mathematics, statistics, engineering, physics, or data science.
* Expertise in statistics and familiarity with advanced machine learning, deep learning, transformers, or GenAI methods is a strong advantage.
* Proven ability to excel in dynamic environments while maintaining precision and focus.
* Proficiency in programming, with skills in languages like Python, R, Matlab, C++, or C#.
* Experience working with complex datasets over different time horizons is a plus.
* A strong sense of curiosity and creativity, paired with a problem-solving mindset and the ability to connect ideas across various domains.
* Capability to work autonomously while thriving in a collaborative, team-oriented culture.
* Effective communication skills to engage with technologists, researchers, and traders on a global scale.
* A track record of successfully designing and implementing systematic strategies.