Quantitative Researcher Equities

Salary: £62,000 - 102,000 per year

Requirements:

• 2–8 years of experience in quant equities, with a primary focus on alpha research.
• Familiarity with both standard and alternative datasets used in equity stat arb strategies, including data cleansing, ticker mapping, point-in-time (PIT) handling, and other dataset idiosyncrasies.
• Strong programming skills in Python; experience with SQL and distributed data environments.
• Advanced degree (PhD/MSc) in Mathematics, Physics, Statistics, Computer Science, or a related quantitative discipline.

Responsibilities:

• We research, design, and implement predictive signals and features across global equities.
• We work with large, diverse datasets and develop robust feature engineering and point-in-time (PIT) data cleaning pipelines.
• We collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
• We build frameworks and tools for performance attribution and ongoing live strategy monitoring.

Technologies:

• Python
• Quant
• SQL

More:

We are DRW, a diversified trading firm with over three 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 trade at our own risk. Headquartered in Chicago, we have offices throughout the U.S., Canada, Europe, and Asia and trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities, and Energy across major global markets. We have also expanded into real estate, venture capital, and cryptoassets. We operate with respect, curiosity, and open minds, and we value high expectations, integrity, innovation, and a willingness to challenge consensus. We are seeking a Quantitative Researcher to join our mid-frequency equity statistical arbitrage team and contribute across the full research pipeline, from data processing and feature engineering to backtesting and live deployment.

last updated 39 week of 2026