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Quantitative Research Intern

DRW · Chicago, IL · $250,000–$300,000 a year · Campus Quantitative Research

Posted Sep 23, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a research or data project where your first approach failed. What did you do next?

What they are checking: Resilience and learning from failed ideas, which is most of research.

Tell me about a time you collaborated with people from very different backgrounds on a hard problem.

What they are checking: Teamwork with diverse experts, which the posting highlights.

What would you do

You find a strong relationship between two series. What would make you doubt it?

What they are checking: Awareness of spurious correlation, look-ahead bias and data errors.

How would you explain a complex model to a trader who needs to trust it?

What they are checking: Clear communication with non-researchers, which matters for collaboration on a desk.

About the work

You'd work on either a systematic equity desk or a fixed income options desk. How would you start researching a new signal for equities?

What they are checking: A structured research process that starts with a hypothesis and data before modeling.

How do you know a backtest result is real and not overfit?

What they are checking: Skepticism about results and knowledge of out-of-sample testing, which is central to quant research.

Explain what implied volatility is and why an options desk cares about it.

What they are checking: Basic derivatives pricing intuition, which the posting names as part of the work.

I flip a fair coin until I get two heads in a row. What's the expected number of flips?

What they are checking: Comfort with probability reasoning under pressure, a common test for quant candidates.

Which machine learning methods have you used, and when would you avoid them on financial data?

What they are checking: Judgment about noisy, non-stationary data where complex models often fail.

What programming tools do you use for research, and what's the most complex thing you've built with them?

What they are checking: Practical coding ability for simulation and backtesting on custom infrastructure.

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The full job description

As published by DRW.

Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory.  The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Chicago or New York City. How you will make an impact… • Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk • Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes • Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities • Work closely with traders and researchers to build and refine research infrastructure and tools What you bring to the team… • Are pursuing a Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and August 2028 • Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc. • Proficient programming skills with experience exploring large datasets • Strong analytical and problem-solving skills including a solid foundation of statistics knowledge • Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc. • Some exposure to Natural Language Processing and/or High-Performance Computing is a plus • Excellent written and verbal communication skills to report research results as well as methodologies • Added bonus if you have been published in a top tier journal focusing on Natural Language Processing or High-Performance Computing What to expect during the internship • Meaningful projects: Each project, advised by a trader, promotes a comprehensive learning experience and provides you with real-world work experience. • Community: Throughout the summer, we host a variety of educational, social and team-building activities to explore the city, foster friendships and camaraderie. • Housing: DRW provides fully furnished apartments located close to the office – making your morning commute as easy as possible. • Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. • Education: As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. You’ll complete an options course taught by an experienced trader and participate in a technology immersion course to better understand how technology and trading intersect. 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.   The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set.  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 . #LI-DNI

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