Research Engineer (Options)

About the role

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.

About the Team

We are a fast-moving and progressively-thinking team that intimately collaborates with traders and quantitative researchers to implement, refine and deploy alpha signals, evaluate and maintain trading tools, improve our research pipeline, while ensuring that our code bases remain nimble, maintainable and extensible.

We embed deeply with our customers to solve high-impact, complex problems.

We move quickly when we prototype, and we tread lightly when we ship to production.

We operate at the intersection of ensuring customer success and creating quality products that stand the test of time.

About the Role

As a Research Engineer, you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will:

- Work directly with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets.

- Embed with trading desks, work intimately with traders and portfolio managers, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions

- Collaborate with other engineering teams to accelerate the research lifecycle from strategy prototype to production deployment

- Evaluate new technology and improve our technology stack on a continuous basis

What you bring to the team:

- Bachelor’s degree in Computer Science, Computer Engineering, or related field

- A minimum of 2+ years’ experience using Python in a production setting

- A strong understanding of quantitative finance and mathematics

- Experience with linux-based, large-scale, concurrent, high-throughput, low-latency software systems

- A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments

- Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment.