Jump Trading

Research Scientist role at Jump Trading focused on applying deep learning to financial markets, developing predictive trading models, and implementing research projects from concept to production. Requires a strong publication record and experience in DL systems.

Seeking researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains, capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process.

Quantitative Researcher role focused on developing mixed-frequency strategies for global equity stat arb business, leveraging statistical analysis, machine learning, and data engineering skills to identify patterns, extract insights, and apply research to forecasts and predictive trading models.