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 research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be 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.

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.

Applied AI Engineer to partner with back office teams (Finance, Legal, HR) to integrate AI into their day-to-day work. Build solutions using internal AI platform, own full lifecycle from discovery to deployment, and establish best practices for prompting, agent design, evaluation, robustness, and responsible AI use.

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.

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.

Quantitative Researcher at Jump Trading focused on applying statistical analysis, machine learning, and data mining to develop profitable predictive trading models in financial markets. Requires strong programming skills, experience with large datasets, and a Masters or PhD in a quantitative field.

Quantitative Researcher role focused on analyzing large datasets, identifying patterns, and developing profitable predictive trading models using statistical analysis, machine learning, and data engineering skills within financial markets.