Quantitative Researcher

Radix Trading Experienced Job Board•Chicago, IL

About The Position

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 a six-month period, you’ll gain new knowledge and insight into the fundamentals of market dynamics, trading strategies, and our proprietary research platform. We’ve stripped away the boundaries of what you can access and touch internally, 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.

Requirements

Highly analytical (math, physics, computer science, statistics, electrical engineering, etc.)
Persistent drive to improve
Creative problem solving and probabilistic thinking
Ability to learn and implement new concepts quickly
Ability to combine knowledge from different domains to create new ideas
Data-driven and probabilistic approach to testing and implementing new ideas
Team mindset; commitment to making the team better through sharing ideas
Mental flexibility and self-awareness; ability to adapt based on new data, results, and feedback
Orientation for making money; hacker's approach to testing ideas, dropping projects with low upside, and focusing on creating value
Strong intuition and deep thinking with data sets
Ability to design new alphas and understand complex systems
Strong 'hacking' ability to quickly get into data to look for empirical relationships and decipher noise or signal
Familiarity with classical statistical methods and knowing when and how to apply them rigorously
Ability to easily learn and apply new statistical methods
Motivation to seek answers despite often proving no correlation or signal
Experience in setup of research framework and execution of projects
Understanding of financial products, market dynamics, and microstructure
Proficiency in low-level computer languages like C++ or Python, Java, etc.
Awareness of strength in a particular language and ability to solve complex problems due to understanding nuances of the language

Responsibilities

Identifying trading opportunities
Accelerating the innovation process with quantitative skills and coding proficiency
Leveraging work for others
Gaining new knowledge and insight into market dynamics, trading strategies, and proprietary research platforms
Contributing to the team and affecting the firm's bottom line