Data Engineer - Systematic Trading

DRW, a well-established trading firm with over 30 years of experience, is seeking a skilled Data Engineer to lead the data infrastructure for their mid-frequency systematic trading strategy. This role presents an exciting opportunity to make a significant impact within a dynamic trading environment.

The position involves close collaboration with Portfolio Managers and Quantitative Researchers, focusing on building and maintaining sophisticated data platforms essential for systematic trading strategies. You'll be responsible for implementing robust data pipelines, ensuring data quality, and delivering timely, accurate datasets for daily trading operations.

DRW stands out for its autonomous approach to trading, using its own capital and operating at its own risk. With offices across the U.S., Canada, Europe, and Asia, the firm trades various asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy in major global markets. They've also expanded into real estate, venture capital, and cryptoassets.

The ideal candidate will bring 7+ years of experience in building data-intensive platforms, along with a strong understanding of financial markets and systematic trading requirements. You'll need to demonstrate expertise in modern data pipeline implementation and data lake management. The role offers exposure to machine learning concepts and the opportunity to work with unstructured data.

Working at DRW means joining a culture that values respect, curiosity, and innovation. The company offers comprehensive benefits including medical, dental, vision insurance, 401k with employer match, and various insurance options. The position offers competitive compensation with a base salary range of $175,000 to $225,000, plus eligibility for an annual discretionary bonus.

This role is perfect for someone who thrives in a fast-paced, performance-oriented environment and wants to make a meaningful impact in quantitative trading while working with cutting-edge technology and data systems.