Quantitative Research Intern

On-siteJuniorResearch Scientistposted 1w ago

✦Role summaryAI-generated

This internship offers hands‑on experience developing statistical models and machine‑learning algorithms for systematic trading strategies at Engineers Gate. Interns will collaborate with senior researchers and engineers to refine data pipelines and contribute to portfolio construction in Singapore.

Skills required

Python R Statistical modeling Machine learning Data analysis Algorithmic trading Risk management Financial modeling Data manipulation Data infrastructure Recommendation systems AI

About this role

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