Quantitative Research Intern
DRWAbout the Role
As a Quantitative Research Intern you will solve challenging problems arising in a trading environment while utilizing statistical scientific algorithms, machine learning techniques and derivatives pricing theory. You will work on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies, gaining deeper understanding of quantitative trading through cutting-edge innovative scientific research and collaboration.
- Create practical solutions to problems in the trading environment on systematic equity trading desks or fixed income options desks
- 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 trading opportunities
- Work closely with traders and researchers to build and refine research infrastructure and tools
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 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.
- Excellent written and verbal communication skills to report research results as well as methodologies
What You'll Get
- $250k–$300k base salary
- Fully furnished apartments located close to the office
- Educational, social and team-building activities throughout the summer
- Mentorship from an experienced mentor in your field, with mentor outings
- Options course taught by an experienced trader
- Technology immersion course