Quantitative Technologist

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