Description
Jump Trading Group is seeking research scientists to apply machine learning to complex quantitative research and monetization problems in global financial markets. The role involves taking open-ended research projects from concept to production, continuously improving model design, tools, and infrastructure, and collaborating closely with traders, quantitative researchers, and engineers. Candidates should have strong machine learning and programming skills, a publication record or open-source research contributions, and familiarity with modern deep learning frameworks; bonus experience includes large-scale distributed training, GPU optimization, and end-to-end model development. Benefits include medical, vision, and dental insurance along with several other perks.
