Quantitative Technologist (Full-Time - DevOps - Night Shift)

Radix Trading Experienced Job Board; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Radix Trading is seeking a DevOps Engineer to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will cover our night shift in our Chicago office alongside engineers and researchers, focusing on Linux-based problem solving and production responsibilities.

You will work with cutting-edge software and hardware to push production-level code daily and to evolve automated strategies, live trading systems, and ML research infrastructure used

Qualifications

• Strong Python proficiency with attention to language nuances and problem solving.
• Persistent drive to improve and rise to the next level.
• Creative, data-driven approach to testing new ideas.
• Team-oriented mindset and collaboration to improve the whole team.
• Adaptability based on new data, results, and feedback.
• Entrepreneurial focus on maximizing value for the firm.

Responsibilities

• Support live trading systems and research infrastructure on a nightly shift.
• Translate research into production-ready solutions for trading machines.
• Contribute to alpha generation through technology and automation.
• Develop and maintain scalable distributed systems and architecture.
• Collaborate across engineering and research to push production code daily.

Skills

Python

Analytical thinking

Team mindset

Creative problem solving

Mental flexibility

Orientation for making money

Job description

As a DevOps Engineer your goal is to enhance live trading systems, research infrastructure, and alpha generation through technology innovation. You will be covering our night shift in our Chicago office alongside other engineers and researchers. Our DevOps team is specifically responsible for ensuring efficacy of our trading machines and the translation of research to production. The ability to execute in a fast-paced environment is crucial for this team, as you’ll be manipulating Linux on the fly, identifying errors and inefficiencies quickly and designing solutions to challenges with systems, networking, and general architecture on a daily basis.

We leverage cutting-edge software and hardware 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.

We provide starter projects that we know will add value to the firm, while encouraging exploration and independent projects to improve inefficiencies, propose iterations, and own significant processes and tools within your first few months.

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:

• Python; awareness of strength in particular language and ability to solve more complex problems due to understanding nuances of the language
• 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

• 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