Quantitative Researcher: ML-Driven Trading & Research

DRW; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DRW is seeking a Quantitative Researcher to develop mathematical models and automated trading strategies across asset classes. You will collaborate with researchers, traders and software developers to analyze market data, identify historical trends and train to succeed in this field.

Ideal candidates have a technical degree with ML/statistics focus and hands-on experience with Python, R, MATLAB or C++. You will translate ideas into production-ready solutions in a fast-paced trading environment.

Qualifications

• Degree in a technical discipline with focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD)
• Curiosity for model development and experience handling large data sets
• Expertise in programming using Python, R, MATLAB, or C++ for conducting research
• Hands-on experience applying machine learning algorithms to real world problems
• Strong problem-solving and statistics skills
• Proactive ability to lead on assignments and deliver practical research results in a timely manner

Responsibilities

• Extract predictive signals from financial data through traditional statistics and cutting edge machine learning techniques
• Assist software developers to translate research strategies into production software
• Optimize the order execution and risk management of our trading system
• Create robust solutions to problems presented in the trading environment
• Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research
• Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas

Skills

Machine learning

Statistics

Data handling

Communication

Education

BSc/MSc/PhD in statistics/ML/CT or related

Tools

Python

R

MATLAB

C++

Job description

DRW is seeking a Quantitative Researcher to develop mathematical models and automated trading strategies across asset classes. You will collaborate with researchers, traders and software developers to analyze market data, identify historical trends and train to succeed in this field.

Ideal candidates have a technical degree with ML/statistics focus and hands-on experience with Python, R, MATLAB or C++. You will translate ideas into production-ready solutions in a fast-paced trading environment.