Quantitative Research Intern: Signals & Data (Singapore)

Engineers Gate

Melbourne

On-site

AUD 67,000 - 100,000

Full time

4 days ago
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Job summary

Engineers Gate (EG) is seeking a Quantitative Research Intern for our Singapore office. You will contribute to ongoing research across signal development and data infrastructure and will gain hands-on exposure to the full quantitative research process.

The internship offers the opportunity to be considered for a full-time Quantitative Researcher role. The role provides exposure to state-of-the-art statistical models, production-quality code, and collaboration with researchers, engineers, and

Qualifications

  • Master’s or PhD degree in Mathematics, Physics, CS, Engineering or related field.
  • Strong programming skills in Python.
  • Excellent attention to detail and strong written and verbal communication.
  • Strong mathematical, statistical, programming, and problem-solving skills.
  • Financial or quantitative research experience is a plus.

Responsibilities

  • Research and develop alpha signals with statistical validation.
  • Read, digest, and implement research papers efficiently.
  • Develop reusable research tools to speed up research.
  • Write clean, production-quality Python code.
  • Communicate findings and recommendations clearly.
  • Turn raw datasets into clean inputs for global equities alpha research.

Skills

Python programming
Attention to detail
Communication skills
Problem-solving
Mathematical/statistical ability

Education

Master’s or PhD degree in Mathematics, Physics, Computer Science, Engineering or related field

Job description

Engineers Gate (EG) is seeking a Quantitative Research Intern for our Singapore office. You will contribute to ongoing research across signal development and data infrastructure and will gain hands-on exposure to the full quantitative research process.

The internship offers the opportunity to be considered for a full-time Quantitative Researcher role. The role provides exposure to state-of-the-art statistical models, production-quality code, and collaboration with researchers, engineers, and

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