Deep Learning Researcher

Responsibilities

• Apply deep learning to develop state-of-the-art predictive trading models
• Implement open-ended research projects from initial concept through to production
• Continuously improve model design, tools, and infrastructure
• Target various areas of the quantitative research and monetization process
• Collaborate with quantitative trading teams to understand complex market dynamics

Requirements

• 5+ years of experience in developing deep learning systems with measurable impact
• PhD or Master's degree in Computer Science, Mathematics, or a related field
• Proficiency in Python and/or C++
• Strong foundation in mathematics and statistics
• Strong publication record at top-tier conferences (e.g., ICML, ICLR, NeurIPS, AAAI, UAI, KDD)
• Excellent written and verbal communication skills in English
• Ability to thrive in a collaborative, team-oriented environment

About the Company

Jump Trading Group is committed to world-class research, empowering exceptional talent in Mathematics, Physics, and Computer Science to push scientific boundaries. We apply cutting-edge research to global financial markets, designing and deploying technologies that change the world. Our culture values innovation, intellectual honesty, and a relentless competitive streak, all while fostering a collaborative environment built on mutual respect.