Research Engineer (Options) DRW · London, United Kingdom 8 hours ago

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 pivot quickly to capture opportunities, so we operate using our own capital and trade at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across major global markets. We have also leveraged our expertise and technology to expand into real estate, venture capital, and cryptoassets.

We operate with respect, curiosity, and open minds. The people who thrive here share our belief that it is not just what we do that matters—it is how we do it. DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus.

As a Research Engineer , you will be an integral member of a systematic research team comprising experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full technology stack, including software design, data engineering, distributed computing, and quantitative modeling. You will be surrounded by cutting-edge technology, mentored by industry-leading engineers, offered training and continuing education opportunities, and given immediate responsibility. We are looking for quantitatively minded people who are creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.

How you will make an impact:

• 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 you bring to the team:

• Bachelor’s degree in Computer Science, Computer Engineering, or a 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, including hardware, operating systems, memory, and networks.
• Skills in multithreaded 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.

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