Quantitative Trading & Research - AI Scientist, Quantitative Research - Associate

The AI/ML quantitative researcher will lead research on building Transformer-based and time-series foundation models over large-scale market datasets, developing methods to make them robust, transferable, and measurable across instruments and regimes. The role involves pre-training large foundation models from scratch, fine-tuning them for alpha generation, pricing, market making, execution, and risk-management tasks, and studying scaling laws, transfer across instruments, and regime robustness. The researcher will design evaluation protocols connecting pre-training metrics to economically meaningful outcomes and build reusable training, checkpointing, evaluation, and model-serving components with ML infrastructure engineers.