Quantitative Trading & Research - AI/ML Quantitative Researcher - Associate or Vice President

About the role

Lead the research and development of Transformer-based and time-series foundation models for systematic trading applications. Design and implement large-scale data pipelines and distributed training recipes to optimize model performance across various financial instruments. Requires an advanced degree in a quantitative field and hands-on experience pre-training large-scale models from scratch. Candidates must possess deep knowledge of model optimization, distributed training frameworks, and financial market data.