Quantitative Research Intern
DRWAbout the Role
As a Quantitative Research Intern, you will solve challenging problems in a trading environment using statistical algorithms, machine learning techniques, and derivatives pricing theory. The role focuses on non-latency sensitive investment opportunities and multi-asset class derivatives strategies, emphasizing cutting-edge scientific research and collaboration. You will use custom research infrastructure for simulation, back-testing, and model validation while working with great minds across diverse backgrounds.
- Create practical solutions to trading environment problems on systematic equity trading or fixed income options desks
- Conduct statistical analysis of market data and relationships across multiple asset classes
- Apply mathematical modeling and machine learning techniques to identify trading opportunities
- Work with traders and researchers to build research infrastructure and tools
Requirements
- Are pursuing a Bachelor's, Master's or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields graduating between December 2027 and October 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 You'll Get
- Each project advised by a trader, promoting a comprehensive learning experience and providing real-world work experience
- A variety of educational, social and team-building activities throughout the summer to explore the city, foster friendships and camaraderie
- Fully furnished apartments located close to the office
- Mentorship: a professional relationship with an experienced mentor in your field, with mentor outings
- An options course taught by an experienced trader and a technology immersion course