Quantitative Technologist (C++ Intern)
Radix TradingAbout the Role
As a C++ Quantitative Technologist Intern, you'll gain experience working on live trading systems, research infrastructure, and alpha generation through technology innovation. You'll leverage cutting-edge software and hardware using modern C++ to push production-level code daily and evolve fully-automated strategies, alpha generation processes, and machine learning research infrastructure. The role focuses on building real value for the firm through intern projects while encouraging exploration and independent approaches to improve inefficiencies and own significant processes during your internship.
Requirements
- Persistent Drive to Improve - an 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 - takes 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
- Low-level computer languages like C or C++; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
- 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