PhD Quant Researcher: ML-NLP for Trading Signals

Anson McCade; Singapore; On-site; SGD 190,000 - 220,000; Full time

Job summary

A leading quantitative hedge fund in Singapore is seeking a Junior Quantitative Researcher to work with top academic quants in developing cutting-edge systematic trading strategies. The role involves designing robust data pipelines, developing ML-driven signals, and conducting research directly impacting trading performance. Ideal candidates will have a PhD in a quantitative field and strong programming skills in Python. Competitive compensation and excellent benefits are offered.

Benefits

Competitive compensation

Access to vast datasets

World-class infrastructure

Top-tier research tools

Focus on innovation and scientific excellence

Qualifications

• PhD or Postdoctoral experience in a highly quantitative field.
• Research in machine learning, NLP, or generative models preferred.
• Proficiency in Python; experience with C++ or Java is a plus.

Responsibilities

• Design and implement data-ingestion pipelines.
• Explore and integrate financial and alternative datasets.
• Develop ML-driven trading signals.
• Conduct alpha research and hypothesis testing.
• Build and refine systematic trading strategies.
• Run backtests and portfolio optimisations.
• Collaborate with senior researchers on high-impact research.

Skills

PhD in a quantitative field

Strong programming skills in Python

Experience in quantitative finance

Ability to work with large datasets

Research in machine learning

Experience with additional programming languages

Education

PhD in Machine Learning, Statistics, Computer Science, Applied Mathematics, Physics, Engineering

Job description

A leading quantitative hedge fund in Singapore is seeking a Junior Quantitative Researcher to work with top academic quants in developing cutting-edge systematic trading strategies. The role involves designing robust data pipelines, developing ML-driven signals, and conducting research directly impacting trading performance. Ideal candidates will have a PhD in a quantitative field and strong programming skills in Python. Competitive compensation and excellent benefits are offered.