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.

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.

Data Scientist role focused on post-trade analytics in financial markets, involving analysis of trading performance, PnL metrics, latency, and infrastructure. The role requires developing mathematical methodologies, designing alert detection algorithms, building datasets, and improving quantitative research frameworks, with a strong emphasis on Python programming and statistical background.

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 researcher at Jump Trading focused on financial markets, ETF pricing, corporate actions, and developing predictive trading models using Python and large datasets.

Research role focused on identifying opportunities and trends within the crypto landscape, translating them into actionable strategies for investment, product development, and partnerships. The role requires deep knowledge of blockchain technology and related disciplines.

Campus Crypto Researcher (Intern) at Jump Trading focusing on research within the crypto space, identifying opportunities, translating trends into strategy, and producing research reports. The role involves deep knowledge of crypto industry, computer science, distributed systems, and related disciplines.

Campus Crypto Researcher (Intern) at Jump Trading, focusing on research within the crypto and blockchain space to identify opportunities, inform strategy, and advise on investments and product development. The role involves monitoring the crypto landscape, translating trends into actionable insights, and contributing to technical and strategic initiatives.

Researcher at Jump Crypto focused on identifying opportunities, translating trends into strategy, and producing research reports within the crypto and blockchain space. The role involves analyzing technical repositories, white papers, and market data to provide insights for investments, product strategy, and partnerships.