Jump Trading Group is seeking to improve its quantitative trading capabilities by applying deep learning to achieve state-of-the-art capabilities in complex and challenging domains.
Requirements
5+ years of experience in developing DL systems with measurable impact in industry and/or academia
Proficiency in Python and/or C++
Strong foundation in mathematics and statistics
PhD, or Master's degree in Computer Science, Mathematics, (or related subject)
Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent
Experience with machine learning and deep learning
Experience with statistical analysis
Responsibilities
Implement open-ended research projects from concept to production
Continuously improve model design, tools, and infrastructure
Develop and deploy technologies that change the world
Design, develop, and deploy predictive trading models
Leverage statistical analysis, machine learning and deep learning skills to make forecasts
Probe and examine global markets to understand complexities of various traded products and exchanges
Apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains
Other
Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
Ability to thrive in a collaborative, team-oriented environment
Excellent written and verbal communication skills in English
