Quantitative Research Intern: Trading ML & Models

DRW Singapore; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

DRW Singapore is seeking a Quantitative Research Intern to work on challenging problems in a trading environment, using statistics, ML, and derivatives pricing theory. You will collaborate with traders and researchers, building and back-testing models with the team’s research infrastructure.

Ideal candidates are pursuing a STEM degree with graduation between December 2026 and August 2027, have strong Python experience (NumPy/Pandas/Scikit-Learn), and can analyze large datasets while

Qualifications

• Pursuing a technical degree with graduation between Dec 2026 and Aug 2027.
• Strong Python programming experience with the ML stack (NumPy/Pandas/Scikit-Learn).
• Experience exploring large datasets and strong analytical skills.
• Solid foundation in statistics, probability, stochastic calculus.
• Good written and verbal communication; teamwork in a trading research environment.

Responsibilities

• Create practical trading-focused research solutions on either an equity or fixed income desk.
• Analyze market data and relationships across multiple asset classes.
• Apply mathematical modeling and ML techniques to identify opportunities.
• Collaborate with traders and researchers to refine research infrastructure and tools.

Skills

Python

Statistics

Data analysis

Machine Learning

NLP exposure

Education

Bachelor's/Master's/PhD in STEM

Tools

NumPy

Pandas

Scikit-Learn

Job description

DRW Singapore is seeking a Quantitative Research Intern to work on challenging problems in a trading environment, using statistics, ML, and derivatives pricing theory. You will collaborate with traders and researchers, building and back-testing models with the team’s research infrastructure.

Ideal candidates are pursuing a STEM degree with graduation between December 2026 and August 2027, have strong Python experience (NumPy/Pandas/Scikit-Learn), and can analyze large datasets while