Quantitative Technologist
You will design and implement live trading systems, as well as enhance research infrastructure, and alpha generation through technology innovation.
We push cutting-edge software to production many times daily and continuously improve our fully-automated strategies, alpha generation processes, live trading systems, and machine learning research infrastructure.
COMPENSATION – Competitive salary, plus annual bonus. Bonus is based both 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:
> Team Player - We want to work with people who are pleasant, friendly, and make it fun to work together each day. We like people who are as committed to making the team better through sharing ideas as they are driven to improve their individual performance.
> 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.
> Not averse to 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++, or deep knowledge of how to write low-latency code in languages such as Java or C#.
> Understanding of data structures, algorithmic complexities, and numerical algorithms.
> Good understanding and intuition for computer systems design and CPU architecture.
> Software Architecture - knowledge and experience working with a large code base, and with concurrency, memory models, and multi-threading.