Quantitative Researcher (Full-Time - PhD+)

Please only apply to one of our Job Postings. At the bottom of the application questions below you'll have the option to indicate if there are any other roles here at Radix that you might be interested in. Please do not submit multiple applications for different positions.

As a Quantitative Researcher, your focus is on identifying trading opportunities, but you can add even more value with strong quantitative skills and some coding proficiency to accelerate the innovation process and help others leverage your work.

By working on a variety of projects with different collaborators over the start of your career, you'll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We believe in learning through impactful work, so while you learn the intricacies of our industry, you'll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team.

While interest in trading is key, a background in finance is definitely not. Our team is built mostly from academia - not from other trading firms. We seek mental diversity and add a select group of academics each year from a wide range of disciplines.

COMPENSATION - Competitive salary, plus quarterly bonus based on individual performance and contribution towards success of others and the firm.

Qualifications

We're looking for highly analytical people (math, physics, computer science, statistics, electrical engineering, etc.) who want to help build the research-driven trading firm of the future. To do that, you'll need the following qualities :

• Currently a PhD Student, Postdoc, Professor, or hold a similar advanced research position at a University
• Persistent Drive to Improve - Do you have an innate desire to rise to the next level, even after great accomplishment?
• Creative Problem Solving and Probabilistic Thinking - You must 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 - We want people who understand 1+1>

2 and are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.

Research / Quant trading strategy skills to have or develop

Experience with modern AI techniques and methods or desire to work on Applied Machine Learning Problems a plus