Quantitative Trading Analyst - GD1

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 Quantitative Trading Analyst, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior.
How you will make an impact…

• Investigate the potential application of existing strategies to new products


• Quantitatively analyze trade data and perform post-trade analysis of strategies


• Assist in the development of analytical tools


• Communicate relevant news, market events, and system behavior to team members in a clear and concise manner


• Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team

• 1-3 years of experience in quantitative research with a focus on machine learning, signal processing, optimization, or statistics


• A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field


• Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations


• A deep curiosity of analyzing large data sets using your knowledge of probability and statistics


• Familiarity programming in Python, C++, C or similar languages


• Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments


• Can advocate for your perspectives on trading strategies and risk in a concise manner to the team


• The ability to communicate effectively and work well in teams