Quantitative Technologist (Full-Time - DevOps - Night Shift)
Radix TradingAbout the Role
As a DevOps Engineer, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation while covering the night shift in the Chicago office. You will work alongside other engineers and researchers to ensure the efficacy of trading machines and translate research to production. The role involves manipulating Linux systems, identifying errors and inefficiencies quickly, and designing solutions for systems, networking, and general architecture challenges on a daily basis. You will leverage cutting-edge software and hardware to push production-level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure.
Requirements
- Python; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
- Persistent Drive to Improve - innate desire to rise to the next level, even after great accomplishments
- Creative Problem Solving and Probabilistic Thinking - enjoy learning and implementing new concepts quickly, combining knowledge from different domains to create new ideas, and take a data-driven and probabilistic approach to testing and implementing new ideas
- Team Mindset - committed to making the team better through sharing ideas as well as driven to improve individual performance
- Mental Flexibility & Self Awareness - able to frequently adapt based on new data, results, and feedback on ideas and performance
- Orientation for Making Money - take a hacker's approach to testing ideas, dropping projects that consume time without high upside, and focusing next efforts on what will create the most value for the firm
- Understanding of data structures, algorithmic complexities, and numerical algorithms
- Systems Architecture - knowledge and experience with distributed systems and communication
- Software Architecture - knowledge and experience working with a large code base
- Development Processes - experience delivering and deploying software in production environments