Quantitative Researcher

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

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As a Quantitative Researcher, you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful.

How You Will Make An Impact

• Extract predictive signals from financial data through both traditional statistical analysis methods 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 with the goal of identifying and capturing trading opportunities
• Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas

You will be right at home if you have…

• A degree in a technical discipline with a focus on statistics, machine learning, signal processing, optimization and control graduating between December 2026 and August 2027 (Bachelor’s, Master’s, PhD)
• A curiosity for model development and experience handling large data sets
• Expertise in programming using Python, R, MATLAB, or C++ for conducting research
• Can advocate for your beliefs in a concise and effective way with the team
• Significant hands-on experience applying machine learning algorithms to real world problems
• Strong problem-solving and statistics skills
• The proactive ability to take the lead on assignments and deliver practical research results in a timely manner

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