Quantitative Researcher: Build ML Trading Strategies

P2P; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

DRW is a diversified trading firm known for its advanced technology and exceptional people. We seek a Quantitative Researcher to build mathematical models and automated trading strategies across asset classes, with access to clean data and strong collaboration with researchers, traders and software developers.

You will develop predictive signals, translate ideas into production-friendly code, and push the frontiers of trading technology through independent, principled research.

Qualifications

• Degree in statistics, ML, signal processing, optimization or related technical discipline; graduation between December 2026 and August 2027.
• Curiosity for model development and handling large data sets.
• Proficiency in Python, R, MATLAB or C++ for research.
• Hands-on ML experience applying algorithms to real-world problems.
• Strong problem-solving and statistical skills.
• Ability to lead assignments and deliver practical results.

Responsibilities

• Extract predictive signals from financial data using traditional statistics and machine learning.
• Assist software developers to translate research into production software.
• Optimize order execution and risk management of the trading system.
• Create robust solutions to trading environment problems.
• Apply mathematical modeling to enhance strategies and identify opportunities.
• Prototype algorithmic trades from trading ideas and automate strategies.

Skills

Quantitative modeling

Machine learning

Statistics

Python/R/MATLAB/C++

Large data handling

Independent research

Education

Technical degree (Bachelor/Master/PhD)

Tools

Python

R

MATLAB

C++

Job description

DRW is a diversified trading firm known for its advanced technology and exceptional people. We seek a Quantitative Researcher to build mathematical models and automated trading strategies across asset classes, with access to clean data and strong collaboration with researchers, traders and software developers.

You will develop predictive signals, translate ideas into production-friendly code, and push the frontiers of trading technology through independent, principled research.