Currently tracking 10 active AI roles, up 15% versus the prior 4 weeks. Primary focus: Post-train · Research. Salary range $200k–$350k (avg $244k).
Quant · Proprietary trading firm
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 14 active AI-related roles in our index. The most common open titles are: Quantitative Researcher | Trading Team (4), AI Infrastructure Engineer, AI Research Scientist | Research & Development, Applied AI Engineer (AI Adoption), Campus AI/ML Researcher (Spring 2026 / Fall 2026) . Most positions are in Research and Engineering.
Jump Trading's active AI hiring is concentrated in: data (43%), post-training (21%), pre-training (14%). 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 (5 roles), Singapore (4 roles), United States (3 roles), United Kingdom (2 roles).
Job postings at Jump Trading most frequently reference: model serving, inference infra, forecasting, frontier research, pretraining.
In the past 30 days, Jump Trading has posted 2 new AI-related roles.
| 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 |
| Research Scientist/Research Engineer | Deep Learning 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. |
| Ship |
| 9 |
| 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 |