À propos de ce poste Quantitative Research Intern chez Engineers Gate
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
