Deep Learning Researcher | Trading Team

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.

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

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