Quantitative Research Intern

DRW; Singapore; On-site; SGD 20,088 - 29,016; Full time

Job summary

DRW invites motivated undergraduates to join a Quantitative Research Internship in Singapore, where you will tackle challenging problems on a trading desk using statistical methods, ML and derivatives pricing theory, collaborating with traders and researchers.

You will work with Python and large datasets, build and validate models, and contribute to research infrastructure and tools used for simulation and back-testing.

Qualifications

• Pursuing a technical degree with focus on statistics, ML, AI or quantitative finance, graduating between Dec 2027 and Aug 2028.
• Strong Python programming with experience in ML stack and data handling.
• Solid statistics foundation and ability to analyze market data.
• Familiarity with probability, stochastic calculus or numerical methods is a plus.
• Excellent written and verbal communication skills to report results.

Responsibilities

• Create practical solutions for problems on systematic equity or fixed income desks.
• Conduct statistical analysis of market data and relationships across assets.
• Apply mathematical modeling and ML to identify trading opportunities.
• Collaborate with traders and researchers to build research infrastructure.

Skills

Python

Data analysis

Machine learning

Statistics

Education

Bachelor's/Master's/PhD in a technical discipline graduating 2027-2028

Tools

NumPy

Pandas

scikit-learn

Job description

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Research Intern you will have an opportunity to solve challenging problems arising in a trading environment while utilizing the latest statistical scientific algorithms, machine learning techniques and derivatives pricing theory. The teams focus on non-latency sensitive investment opportunities and multi-asset class derivatives strategies across geographies. Our teams emphasize cutting-edge innovative scientific research and collaboration, allowing you to gain a deeper understanding of quantitative trading. You will find great minds with diverse backgrounds, who are passionate about cultivating new ideas and exploring ways to bring them to life. You will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models. While your days will have you engrossed with complex technology projects, your evenings will be spent exploring the city with organized social events to truly discover what it’s like to live and work in Singapore.

How You Will Make An Impact

• 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

What You Bring To The Team

• 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 To Expect During The Internship

• 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.