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 |
|---|---|---|
| Research Engineer, Pre-Training Research Engineer focused on pre-training massive-scale foundation models for financial markets, involving building fault-tolerant infrastructure, engineering data pipelines, and designing custom kernels for efficiency. Requires expertise in large-scale distributed training, published research in efficient training methods, and proficiency in Python and deep learning frameworks. | Pretrain | 9 |
| AI Research Scientist | Research & Development 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. | Pretrain |
| 9 |