Radix Trading

Research-focused trading firm using machine learning

Quantitative Technologist

Quantitative DevelopmentConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

Use low-level computer languages such as C++ or C and understand language-specific nuances to solve complex problems.
Understand data structures, algorithmic complexity, and numerical algorithms.
Have knowledge and experience with distributed systems and communication.
Have knowledge and experience working with a large codebase.
Have experience delivering and deploying software in production environments.
Apply creative problem-solving and probabilistic thinking to learn and implement concepts quickly, combine knowledge across domains, and test ideas in a data-driven way.
Adapt to new data, results, and feedback on ideas and performance.
Share ideas and contribute to improving team performance.

Responsibilities

Enhance live trading systems, research infrastructure, and alpha generation through technology innovation.
Develop and deliver production-level code using modern C++ and software and hardware technologies.
Evolve automated strategies, alpha generation processes, live trading systems, and machine-learning research and simulation infrastructure used to analyze large datasets.
Test ideas, discontinue projects with low potential upside, and focus efforts on creating value for the firm.

As a Quantitative Technologist, your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation.

We leverage cutting-edge software and hardware (mostly with modern C++) to push production level code daily and evolve fully-automated strategies, alpha generation processes, live trading systems, and machine learning research and simulation infrastructure used to analyze petabytes of data.

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 who want to help build the research-driven trading firm of the future. And 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 accomplishments?
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 ideas and 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.

Software development skills to have or develop

> Low-level computer languages like C++ or C; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
Understanding of data structures, algorithmic complexities, and numerical algorithms
Systems Architecture - knowledge and experience with distributed systems and communication
Software Architecture - knowledge and experience working with a large code base
Development Processes - experience delivering and deploying software in production environments

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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