Deep Learning Researcher | Trading Team

Apply deep learning to complex quantitative trading research problems, taking projects from concept to production. Develop and improve model designs, tools, and infrastructure while combining machine learning, engineering, statistics, and market intuition to 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