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Quantitative Research Intern
Engineers Gate
At a glance
- Location
- Singapore, Singapore
- Work type
- Onsite
- Category
- Finance
Quantitative Research Intern in Singapore focusing on alpha signal development, data infrastructure, and end-to-end quantitative research processes, with potential to be considered for a full-time Quantitative Researcher role.
What they are looking for
Location: Singapore Department: KINT
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
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