DRW is hiring a
Quantitative Research Intern

Summary

Join our team as a Quantitative Research Intern and contribute to solving challenging problems in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques, and derivatives pricing theory.

Requirements

• 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 2025 and August 2026
• 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

Responsibilities

• 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

Benefits

• 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
• 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