DRW, a prominent trading firm, is seeking an experienced Data Engineer to spearhead the data infrastructure development for their mid-frequency systematic trading strategy. This role presents a unique opportunity to make a significant impact on the trading desk while working directly with Portfolio Managers and business leaders.
The position demands a seasoned professional with at least 7 years of experience in building data-intensive platforms, particularly in the trading industry. The ideal candidate will bring a strong educational background in computer science or software engineering, combined with hands-on experience in systematic trading data systems.
As the lead Data Engineer, you'll be responsible for architecting and implementing robust data pipelines, ensuring data quality, and maintaining the data platform that powers the firm's quantitative systematic trading operations. You'll work closely with Portfolio Managers and Quantitative Researchers to understand and fulfill data requirements for multi-asset systematic strategies.
The role offers an attractive compensation package, with a base salary ranging from $175,000 to $225,000, plus an annual discretionary bonus. DRW provides comprehensive benefits including medical, dental, and vision insurance, 401k with employer match, and various insurance coverages.
This position is ideal for someone who thrives in a fast-paced, performance-oriented environment and has a passion for financial markets and data systems. The opportunity to work with cutting-edge technology and contribute to a sophisticated trading operation makes this role particularly appealing for experienced data professionals looking to make a significant impact in the financial technology sector.
Working at DRW means being part of a team that values innovation, technical excellence, and collaborative problem-solving. The role offers exposure to complex trading strategies and the chance to work with industry-leading data sets, making it an excellent opportunity for professional growth and development in the intersection of finance and technology.