Quant Research Intern: ML, Stats & Derivatives Trading

DRW SINGAPORE PTE. LTD.; Singapore; Presencial; SGD 20.000 - 36.000; Jornada completa

Descripción de la vacante

DRW SINGAPORE PTE. LTD. offers a Quantitative Research Intern role in Singapore, focusing on solving challenging trading problems using statistics, machine learning, and derivatives pricing concepts. You will work on non-latency sensitive opportunities across geographies with a team of researchers and traders.

The internship emphasizes hands-on research, back-testing, and development of research infrastructure, with mentorship and social activities in Singapore as part of the program.

Formación

• Pursuing a Bachelor's, Master's or PhD in a technical field with focus on Statistics, Optimization, ML, AI, Quantitative Finance graduating between December 2026 and August 2027.
• Strong Python programming experience with the Python ML stack.

Responsabilidades

• Create practical solutions to problems presented in the trading environment on a systematic desk.
• Conduct statistical analysis of market data, trends and relationships across asset classes.
• Formulate and apply mathematical modeling and ML techniques to identify trading opportunities.
• Work closely with traders and researchers to build and refine research infrastructure and tools.

Conocimientos

Python programming

Statistics

Machine Learning

Data analysis

Communication skills

Educación

Bachelor's/Master's/PhD in Statistics/ML/Quantitative Finance (graduating 2026–2027)

Herramientas

NumPy

Pandas

scikit-learn

Descripción del empleo

DRW SINGAPORE PTE. LTD. offers a Quantitative Research Intern role in Singapore, focusing on solving challenging trading problems using statistics, machine learning, and derivatives pricing concepts. You will work on non-latency sensitive opportunities across geographies with a team of researchers and traders.

The internship emphasizes hands-on research, back-testing, and development of research infrastructure, with mentorship and social activities in Singapore as part of the program.