Quantitative Researcher

About the company

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.

Your tasks

About The Role We are seeking a motivated Quantitative Researcher to join one of our systematic equity trading teams in Singapore. In this role, you will leverage the team’s existing research and trading infrastructure to research, develop, and support mid-frequency systematic equity strategies across the full trading lifecycle, from data sourcing and alpha research to portfolio construction, execution, and ongoing risk management.

• Source, clean, validate, and analyze large-scale market, fundamental, and alternative datasets to build a reliable foundation for Asia and global equities alpha research
• Apply NLP, machine learning, and statistical techniques to alternative and unstructured data (e.g., news, filings, web and app-usage data) to enhance signal generation and forecasting

• Contribute across the full lifecycle of mid-frequency strategies (typical holding periods of 2–10 days): ideation, research, backtesting, optimization, deployment, and live performance monitoring
• Assist Portfolio Managers in developing tools to analyze, optimize, and monitor portfolio performance

• Stay informed on Asia equity market structure, liquidity and execution-cost dynamics, emerging data sources, and relevant technological advancements

Requirements

The ideal candidate has a strong quantitative foundation, hands-on experience working with large and alternative datasets, and an interest in translating research into live trading. This Singapore-based individual will work closely with the Portfolio Manager within a collaborative, fast-paced environment.

• 1–5 years of experience in systematic equity research, quantitative trading, or data engineering, ideally at a proprietary trading firm, hedge fund, or asset manager; data engineers looking to move into investment research are strongly encouraged to apply
• MS or PhD in mathematics, statistics, physics, computer science, or another scientific field is a plus

• Strong quantitative, mathematical, and programming skills; Python required
• Practical experience applying alternative data, NLP, and machine learning techniques; experience with deep learning is a plus

• Experience with mid-frequency strategies and/or Asia cash equities is a plus

Other

EA Licence 15C7529 EA Personnel R1985185