About the role
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.
We are seeking a Quantitative Researcher to work on alpha generation, model development, and the full research pipeline for mid-frequency equity statistical arbitrage strategies. The position will collaborate closely with the Portfolio Manager and other team members, contributing across all stages — from data processing and feature engineering to backtesting and live deployment.
Key Responsibilities
- Research, design, and implement predictive signals and features across global equities.
- Work with large, diverse datasets; develop robust feature engineering and point in time (PIT) data cleaning pipelines.
- Collaborate with team members to implement research infrastructure, backtesting frameworks, and analytical tools.
- Build frameworks and tools for performance attribution and ongoing live strategy monitoring.
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 related quantitative discipline.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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Aplyr's read
DRW is a dynamic proprietary trading firm where technology and quantitative research drive innovation across diverse asset classes. Ideal for tech-savvy finance professionals.
What's promising
- •DRW offers a tech-driven environment focusing on quantitative research for trading.
- •The firm provides opportunities in diverse asset classes, including equities and derivatives.
- •DRW is known for hiring skilled engineers and researchers, emphasizing innovation.
What to watch
- •The proprietary trading model may involve high-pressure environments with significant performance expectations.
- •Limited public information about the company's work-life balance and employee satisfaction.
- •The fast-paced nature of trading may not suit everyone, especially those new to finance.
Why DRW
- •DRW integrates cutting-edge technology with trading strategies, setting it apart in the financial sector.
- •The firm actively invests in machine learning and data engineering roles.
- •DRW's focus on diverse asset classes offers varied career paths for specialists.
Aplyr’s read is generated by AI from public sources. Was it useful?
About DRW
DRW Trading is a proprietary trading firm that engages in trading across various asset classes, including equities, fixed income, and derivatives. The firm leverages technology and quantitative research to drive its trading strategies.
