Quantitative Trading Analyst Intern
DRWAbout the Role
As a Quantitative Trading Analyst Intern, you will gain exposure to the dynamic worlds of trading and technology to learn what it takes to become a successful and sustainable trader. You will work on a small team combining technology, research and risk management to identify optimal trading and investment strategies through project-based assignments. Over 10 weeks, you will develop and improve trading strategies, conduct cutting-edge market research, and take on immediate responsibility for position tracking, risk calculation, and analysis. At the conclusion of the internship, you will present your results to senior leadership.
Requirements
- Are pursuing a bachelor's, master's or PhD in mathematics, economics, physics, statistics, computer science or any engineering related field and have an expected graduation date between December 2027 and June 2028
- Advanced quantitative, analytical and problem-solving skills and the ability to deploy those skills under time-sensitive situations
- Proficient programming in Python
- Are self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments
- A passion for the financial markets and a deep curiosity to explore new methodologies
- Strong communication skills to advocate your ideas in a clear and concise manner to the group
What You'll Get
- $250k+ base salary
- Meaningful projects: each project, advised by a trader, promotes a comprehensive learning experience and provides real-world work experience
- Community: throughout the summer, 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
- Mentorship: 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: an options course taught by an experienced trader and participation in a technology immersion course