Jump Trading

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 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.

Quantitative Researcher role at Jump Trading focusing on applying research to financial markets. The role emphasizes statistical analysis, data mining, and developing predictive trading models, with a strong desire for Machine Learning and LLM expertise. Training is provided, and prior finance knowledge is not required. This is for an internship with potential for full-time employment.

Quantitative Developer role at Jump Trading focused on building and maintaining research infrastructure and production systems for a new global equity stat arb business. Responsibilities include machine learning development, microstructure research, portfolio optimization, and data pipeline management. Requires strong software development skills in Python/C++ and experience with challenging problems.