Quantitative Trading Analyst - GD1

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.

Quantitative Trading Analyst

As a Quantitative Trading Analyst, you will 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
• Challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team

What you bring to 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, with the ability to deploy them during time-sensitive situations
• Deep curiosity about analyzing large data sets using probability and statistics
• Programming familiarity in Python, C++, C, or similar languages
• Adaptive and self-motivated; enjoys challenges and significant responsibility; thrives in fast-paced, competitive environments
• Ability to advocate for your perspectives on trading strategies and risk in a concise manner
• Ability to communicate effectively and work well in teams