Senior Quantitative Data Engineer

As a Senior Quantitative Data Engineer at DRW, your key responsibilities include planning and implementing the data platform for mid-frequency systematic strategies, collaborating with Portfolio Managers and Quantitative Researchers to identify data needs, leading the build-out of quality data sets for trading, and ensuring effective data sourcing and quality management.

To qualify as a Senior Quantitative Data Engineer at DRW, candidates should possess a bachelor's or master's degree in computer science or a related field, along with 7+ years of experience in building data-intensive platforms. Prior experience in a trading team and knowledge of modern data pipelines are also crucial.

The Senior Quantitative Data Engineer is critical to DRW’s trading operations by ensuring timely and accurate data delivery for the trading desk. This role involves owning all data needs for trading, supporting daily operations, and implementing processes that enhance data accuracy and accessibility for systematic strategies.

The expected salary range for a Senior Quantitative Data Engineer at DRW is between $175,000 to $225,000 per year. This range may vary based on the candidate's experience, qualifications, and relevant skill set, along with eligibility for an annual discretionary bonus.

At DRW, the work environment for Senior Quantitative Data Engineers is fast-paced and performance-oriented, encouraging collaboration among teams. With a focus on innovation and integrity, engineers thrive by tackling complex data challenges and contributing significantly to systematic trading strategies.

In responding to this question, share specific projects you've worked on that demonstrate your technical competence, the tools you utilized, and the impact your work had on the team or the business. Be sure to highlight your problem-solving skills and collaboration with cross-functional teams.

When answering this, outline your processes for ensuring data quality, such as validation techniques, building automated checks, and using data governance best practices. Discuss any tools or systems you've implemented to maintain high data standards in your previous roles.

Provide examples of how you've worked with these stakeholders in the past, including how you gathered requirements, prioritized tasks based on their needs, and delivered data solutions that supported trading decisions. Highlight your communication skills and adaptability.

Discuss your approach to identifying and sourcing valuable data sets, including any partnerships with data providers or techniques for acquiring data efficiently. Mention how you evaluate and integrate new data sources into existing pipelines.

Share a specific challenge you faced, the steps you took to address it, and the outcome. Emphasize your leadership, technical skills, and ability to navigate obstacles while delivering results that enhanced trading strategies.

Talk about the processes you've implemented to streamline data delivery, such as automation, scheduling jobs, and efficient use of resources. Mention how you monitor performance and make adjustments to meet the demands of a dynamic trading environment.

Discuss any previous experience you've had in working with unstructured data, including the tools you used for processing it. Highlight the methods you've applied to transform unstructured data into actionable insights for trading.

Give examples of modern data pipeline architectures you've designed, touching on the technology stack you used and the benefits realized by your team. Detail how these pipelines improved data flow and accessibility for your trading operations.

Share your methods for staying informed, such as following industry news, participating in professional networks, attending conferences, or engaging in continued education. Highlight how you've applied new knowledge to improve your work at previous positions.

Express your passion for data engineering and its application in quantitative trading, along with your excitement about contributing to DRW's innovative culture. Discuss how your career goals align with the firm's mission and values.