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. You will work on non-latency sensitive investment opportunities and multi-asset class derivatives strategies, leveraging custom research infrastructure for simulation, backtesting, and model validation. You will collaborate with great minds from diverse backgrounds, working on systematic equity trading or fixed income options desks while exploring the city of Singapore through organized social events.
- Create practical solutions to trading environment problems on systematic equity or fixed income options desks
- Conduct statistical analysis of market data, historical trends, and cross-asset relationships
- Apply mathematical modeling, quantitative methods, and machine learning to identify trading opportunities
- Work 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.
- 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
- Meaningful projects: each project, advised by a trader, promotes a comprehensive learning experience and provides 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 mentor outings
- Education: 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
- Organized social events to explore the city