Deep Learning Researcher | Trading Team
Jump Trading is a global trading firm where traders, engineers, and researchers develop trading strategies, models, infrastructure, and systems across asset classes and time horizons.
About Jump Trading
Jump Trading is a global trading firm focused on research-driven trading and the engineering of scalable models, tools, infrastructure, and execution systems. Its operations combine trading, technology, AI/ML, and quantitative research, and it also runs research and talent programs including conference travel grants and a fellowship program.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will apply deep learning to complex research problems in quantitative trading, taking projects from concept to production. You will develop and improve model designs, tools, and infrastructure; combine machine learning, engineering, statistics, and market intuition; and create predictive systems for quantitative research and monetization.
Requirements
- At least 5 years of experience developing deep learning systems with measurable impact
- Proficiency in Python or C++
- Strong foundation in mathematics and statistics
- PhD or master's degree in computer science, mathematics, or a related subject
- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
- Excellent written and verbal communication skills in English
- Ability to work collaboratively
Responsibilities
- Apply deep learning to complex research problems
- Implement open-ended research projects from concept to production
- Improve model design, tools, and infrastructure
- Develop predictive systems for quantitative research and monetization
- Combine machine learning, engineering, statistics, and market intuition
