Deep Learning Researcher | Trading Team
Summary
Researcher builds deep-learning models for quantitative trading, turning ideas into production systems that predict market moves using ML, stats, and engineering.
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