Currently tracking 10 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Post-train · Research. Salary range $200k–$350k (avg $244k).
Jump Trading has 12 active AI-related job listings. The majority of these roles are focused on data, representing 42% of the total openings. Research is the most frequent function, with engineering also represented. The company is actively hiring in Hong Kong and Singapore. Frequent tech tags include model_serving, inference_infra, and forecasting, suggesting a focus on deploying and optimizing AI models for predictive tasks.
Jump Trading currently has 10 active AI-related roles in our index. The most common open titles are: Quantitative Researcher | Trading Team (4), Campus AI/ML Researcher (Spring 2026 / Fall 2026) , Deep Learning Researcher | Trading Team, Quantitative Developer | Trading team, Quantitative Researcher | Trading Team . Most positions are in Research and Engineering.
Jump Trading's active AI hiring is concentrated in: data (50%), post-training (30%), application (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Jump Trading is hiring AI talent in: Hong Kong (4 roles), Singapore (3 roles), United States (2 roles), United Kingdom (2 roles).
Job postings at Jump Trading most frequently reference: forecasting, model serving, frontier research, inference infra, pretraining.
In the past 30 days, Jump Trading has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Deep Learning Researcher | Trading Team 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. | Post-trainServe | 9 |
| Campus AI/ML Researcher (Spring 2026 / Fall 2026) 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. | Post-train |
| 8 |
| Quantitative Researcher | Trading Team 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. | Data | 7 |
| Campus Quantitative Researcher (Spring 2026 / Fall 2026) 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. | Data | 5 |
| Quantitative Developer | Trading team 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. | Data | 5 |
| Leadership and Professional Development Specialist Jump Trading is seeking a Leadership and Professional Development Specialist for the APAC region to partner with the global L&D team to execute the company's learning and development strategy. This role will deliver technical training and leadership development programs, build expert networks, run pilot programs, measure ROI, and collaborate cross-organizationally to create innovative training solutions. The ideal candidate will have 8+ years of experience in L&D or related fields, experience in financial services or high-performance technology environments, and strong interpersonal and influencing skills. | — | 0 |
| Campus Trading Team Software Engineer (Intern) 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. | — | 0 |
| Portfolio Finance Trader, SBL Specialist | Finance 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. | — | 0 |
| Quantitative Developer | Trading Team 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. | — | 0 |