The Role
Conduct quantitative research to identify trading opportunities and develop trading strategies. Analyze financial datasets using statistical and probabilistic methods, distinguish signal from noise, and investigate market dynamics and microstructure. Build and use research frameworks, apply coding skills in languages such as C++ and Python, and collaborate across projects to improve the firm’s trading capabilities and profitability.
Summary Generated by Built In
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.
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:
- 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.
- Mental Flexibility & Self Awareness - You’ll have to frequently adapt based on new data, results, and feedback on your trading ideas and your performance.
- Orientation for Making Money - Although we value academic training, our work is not an academic exercise. We take a hacker’s approach to testing ideas, dropping projects that consume time without high upside, and focusing our next efforts on what will create the most value for the firm.
Research / Quant trading strategy skills to have or develop
- 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
- Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
Skills Required
- Strong quantitative and analytical skills in areas such as mathematics, physics, computer science, statistics, or electrical engineering
- Creative problem solving and probabilistic thinking
- Strong intuition and deep thinking with data sets
- Ability to investigate empirical relationships and distinguish signal from noise in data
- Familiarity with classical statistical methods and ability to learn new statistical methods
- Experience setting up research frameworks and executing research projects
- Understanding of financial products, market dynamics, and market microstructure
- Coding proficiency in C++, Python, Java, or similar low-level programming languages
- Team-oriented mindset, adaptability, persistence, and data-driven decision-making
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The Company
What We Do
Radix Trading is a privately funded proprietary trading and quantitative research firm. It develops technology-driven trading strategies using machine learning, statistical methodologies, and targeted collaboration, then monetizes that research through trading. The company employs research-driven strategies across major electronic markets and operates in Chicago, New York, and Amsterdam, with infrastructure supporting research, trading, exchange connectivity, hardware, and enterprise operations globally.
