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.
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 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 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. | Post-train | 7 |