Quantitative Technologist

Job description

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