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 |
|---|---|---|
| AI Infrastructure Engineer AI Infrastructure Engineer responsible for the production layer of AI capabilities, focusing on hardening, scaling, and improving the reliability of AI services for internal trading teams. This role involves partnering with research and platform groups to deploy AI work, ensuring stringent operational requirements are met, and playing a key role in composing agentic flows at scale. | ServeAgent | 8 |
| Applied AI Engineer (AI Adoption) Applied AI Engineer to partner with back office teams (Finance, Legal, HR) to integrate AI into their day-to-day work. Build solutions using internal AI platform, own full lifecycle from discovery to deployment, and establish best practices for prompting, agent design, evaluation, robustness, and responsible AI use. | Agent |
| 7 |