DRW is a diversified trading firm with over 3 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.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
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.
As a Research Engineer, you will be an integral member of a systematic 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. 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 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
This role can be in either Chicago or New York City.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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What We Do
A diversified trading firm that utilizes our own capital and trades at our own risk. We bring sophisticated technology and exceptional people together to solve complex problems in markets around the world and across many asset classes. We are motivated to compete at the highest level and commit to operate with respect, curiosity and an open mind.
Why Work With Us
The DRW approach is simple: tenure, experience and titles don’t matter as much as ideas, execution and results. We believe in creating opportunity to take on more complex problems, more interesting projects and more specialized skills. It’s a results-driven environment where friendships grow and respect is the norm.
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DRW Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.