Radix Trading

Research-focused trading firm using machine learning

Quantitative Researcher

Quantitative ResearchConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

Strong quantitative skills and some coding proficiency to accelerate innovation and help others leverage research work.
A highly analytical background, such as mathematics, physics, computer science, statistics, or electrical engineering.
Creative problem-solving and probabilistic thinking, including learning and implementing concepts quickly, combining knowledge across domains, and applying data-driven methods to test ideas.
A team mindset, including sharing ideas and contributing to team performance.
Mental flexibility and self-awareness to adapt to new data, results, feedback on trading ideas, and performance.
Strong intuition and deep thinking with data sets; ability to design new alphas, understand complex systems, and identify where to begin.
Ability to quickly investigate data for empirical relationships and distinguish signal from noise.
Familiarity with classical statistical methods and the ability to apply them rigorously, learn new statistical methods, and identify methods that better solve problems.
Understanding of financial products, market dynamics, and market microstructure.
Knowledge of a low-level programming language such as C++, Python, or Java, and the ability to solve more complex problems by understanding the language's nuances.

Responsibilities

Identify trading opportunities.
Work on a variety of projects with different collaborators over a six-month period to gain knowledge of market dynamics, trading strategies, and the proprietary research platform.
Contribute to research and trading work and help others leverage research findings.
Set up research frameworks and execute research projects.
Test ideas, discontinue projects with limited upside, and focus subsequent efforts on work that can create value for the firm.

Desired Qualifications

Experience setting up research frameworks and executing projects.

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

About the Company

Radix Trading

Research-focused trading firm using machine learning

Radix Trading is a research-driven trading firm that uses machine learning and statistical methods to develop and monetize trading strategies. It operates in major electronic markets across North America, Europe, and Asia, supported by a proprietary automated research platform and continuously evolving strategies. The firm distinguishes itself by private funding with no outside investors, an open culture that favors rapid idea execution, and a team of interdisciplinary academics and technologists focused on longer-horizon, statistically driven opportunities rather than traditional high-frequency trading. Its goal is to generate returns by deploying advanced, independently developed trading strategies that stay ahead of the competition in electronic markets.

Company size: 51-200
Company stage: Private
Total funding: Not listed
Headquarters: Chicago, Illinois
Founded: 2014

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