Engineers Gate

Quantitative Research Intern

Singapore

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hirly's read of this role

Seniority: Internship
Country: SG
Work mode: On-site / unstated
First seen by hirly: 24 Oct 2026

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the posting

About EG

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches.

EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets.

About The Role

We're looking for intellectually curious, driven graduate-level students to join one of our investment teams as a Quantitative Research Intern in our Singapore office.

The intern 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.

Key Responsibilities

Research and develop alpha signals that combine sound economic reasoning with rigorous statistical validation

Scout, read, digest, and implement research papers competently and efficiently

Develop reusable research tools that make the research process faster and more robust

Write clean, well-documented, production-quality code

Communicate findings and recommendations clearly

Turn raw, varied datasets into clean, validated inputs for global equities alpha research

Qualifications

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

Excellent attention to detail and strong written and verbal communication

Strong programming skills in Python

Strong mathematical, statistical, programming, and problem-solving skills

Financial or quantitative research experience a plus

Hands-on experience using AI tools a plus

Original posting on Engineers Gate's site ↗

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