Quantitative Researcher (Full-Time - Master’s/Bachelor’s)
Radix TradingAbout the Role
As a Quantitative Researcher, your focus is on identifying trading opportunities while leveraging strong quantitative skills and coding proficiency to accelerate innovation. You will work on a variety of projects with different collaborators, gaining knowledge in market dynamics, trading strategies, and Radix's proprietary research platform. By learning through impactful work, you'll contribute directly to the firm's success within your first few weeks. The team is built primarily from academia across diverse disciplines rather than from other trading firms, emphasizing mental diversity and research-driven approaches.
Requirements
- Highly analytical background (math, physics, computer science, statistics, electrical engineering, etc.)
- Persistent drive to improve - innate desire to rise to the next level, even after great accomplishment
- 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 - frequently adapt based on new data, results, and feedback on trading 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
- Strong intuition and deep thinking with data sets - designs new alphas, understands complex systems; knows where to start, or ask others where to start
- Demonstrates strong "hacking" ability to quickly get into data to look for empirical relationships and decipher noise or signal
- Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; easily learns how to apply new statistical methods; will seek out and learn new methods to better solve problems
- Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal
- Experience in setup of research framework and execution of projects
- Understanding of financial products, market dynamics, and microstructure
- Experience programming in low-level computer languages (like C++); awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
- Experience with modern AI techniques and methods or desire to work on Applied Machine Learning problems a plus
What You'll Get
- Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm