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.

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.

Software Engineer Intern role at Jump Trading, focusing on building and improving high-performance data pipelines, processing systems, and tools to support quantitative research workflows in financial markets. The role involves full-cycle software development, system optimization, and bridging the gap between research prototypes and production systems.

This role is for a Portfolio Finance Trader specializing in Stock Borrowing and Lending (SBL) within Jump Trading Group's Global Treasury Team. The position involves managing daily financing, supporting APAC inventory, executing the stock borrowing process, identifying trading opportunities, and developing desk models and tools. The role requires a STEM or Finance background, 3-5 years of relevant experience, and technical fluency in Python or other programming languages.

Quantitative Developer role within a trading team, focusing on building and improving trading platforms, infrastructure, and production systems. Responsibilities include full-cycle development, testing, deployment, and direct support of end-users and production systems.