Quantitative Researcher — AI Trading Models (Singapore)

Tradermath

Singapore

Hybrid

SGD 120,000 - 190,000

Full time

14 days+
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Job summary

DRW is seeking a Quantitative Researcher in Singapore to develop mathematical models and automated trading strategies across asset classes. You’ll work with a team of researchers, traders and software developers, with access to clean data, compute resources and mentorship.

Training will be provided, and the role emphasizes independent exploration and contribution to innovative research. The ideal candidate will have a degree in a technical discipline graduating between December 2026 and August

Qualifications

  • Degree in a technical discipline focusing on statistics, ML, signal processing, optimization and control graduating between December 2026 and August 2027.
  • Curiosity for model development and experience handling large data sets.
  • Proficiency in programming using Python, R, MATLAB or C++ for research.

Responsibilities

  • Extract predictive signals from financial data using statistical and ML methods.
  • 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.
  • Formulate mathematical models to improve trading strategies and research.
  • Automate human trading decisions and prototype algorithmic trades.

Education

Bachelor’s/Master’s/PhD in a technical discipline (statistics, ML, signal processing, optimization and control)

Tools

Python
R
MATLAB
C++

Job description

DRW is seeking a Quantitative Researcher in Singapore to develop mathematical models and automated trading strategies across asset classes. You’ll work with a team of researchers, traders and software developers, with access to clean data, compute resources and mentorship.

Training will be provided, and the role emphasizes independent exploration and contribution to innovative research. The ideal candidate will have a degree in a technical discipline graduating between December 2026 and August

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