Develop and improve live trading systems, research infrastructure, automated strategies, alpha-generation processes, and machine-learning research and simulation platforms. The role involves writing production software primarily in C++, solving complex algorithmic and numerical problems, designing distributed systems, working within large codebases, and deploying software used to analyze petabytes of data.
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
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As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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