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

Radixuniversity; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Job summary

Radixuniversity is seeking a DevOps Engineer to enhance live trading systems and research infrastructure in Chicago. You will work collaboratively with engineers and researchers, developing solutions that ensure the effectiveness of trading machines and translate research into production.

The role requires a strong understanding of Python, creative problem-solving capabilities, and a commitment to teamwork. Benefits include a competitive salary and quarterly bonuses based on performance.

Qualifications

• Strong understanding of Python to solve complex problems.
• Desire to continuously improve performance.
• Ability to think creatively and implement new concepts quickly.

Responsibilities

• Enhance live trading systems and research infrastructure.
• Work with cutting-edge software and hardware.
• Develop solutions to challenges with systems and architecture.

Skills

Python

Problem solving

Team collaboration

Mental flexibility

Tools

Knowledge of data structures

Experience with distributed systems

Experience with large code bases

Deployment experience

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

• 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