Quantitative Research Intern: Build ML Models for Trading

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

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.