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.

AI Research Scientist at Jump Trading Group, focused on leading LLM research and applications in financial markets. The role involves generating signals from unstructured data, applying ML to achieve state-of-the-art capabilities, and leading research projects from concept to production, with potential for firmwide application. Requires a strong ML background, Python/C++ skills, and experience with ML libraries.

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 at Jump Trading Group, focusing on applying statistical analysis, machine learning, and data engineering to analyze large datasets, identify patterns, and develop profitable predictive trading models in financial markets. Requires strong programming skills, experience with forecasting techniques, and a Masters or PhD in a quantitative field.