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Research Engineer
2 months ago
About DRW
DRW is a diversified trading firm with over three decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Our Technology
We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it's not just what we do that matters – it's how we do it. DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus.
Our Team
As a Research Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, including software design, data engineering, distributed computing, and quantitative modeling.
Your Responsibilities
- Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets.
- Design trading strategy simulation software optimized for distributed computation.
- Develop software for large-scale data acquisition, storage, accessibility, and visualization.
- Create user interfaces for data exploration and post-trade analysis.
- Accelerate the research lifecycle from strategy prototype to production deployment.
- Evaluate new technology and improve our technology stack.
What We're Looking For
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- Excellent software development skills in modern C++ and Python.
- A strong understanding of object-oriented design, data structures, and algorithms.
- A strong understanding of quantitative finance mathematics.
- A solid foundation in programming with the ability to think, communicate, and code clearly.
- A solid understanding of computer systems at every level of abstraction (hardware, OS, memory, network).
- Skills in multi-threaded applications.
- An understanding of how to build software for long-term use and broad adoption.
- Demonstrated ability to produce algorithmic code in a fast-paced environment.
