DRW | Quantitative Researcher

2 days ago


Singapore DRW Full time

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
Optimise 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, optimisation and control graduating between
December 2024
and
August 2025
(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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