Quantitative Technologist (Full-Time - DevOps & Systems Engineering)

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

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.

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.