Engineers Gate is a quantitative investment firm founded in 2014, specializing in systematic trading across global financial markets. With a hybrid multi-manager approach, the company focuses on delivering top-tier performance through elite talent and cutting-edge technology, while maintaining a culture of collaboration and efficient risk management. Engineers Gate manages over $2 billion in capital with a team of over 200 employees globally and is regulated by both the U.S. Securities and Exchange Commission and the U.S. Commodity Futures Trading Commission.
Open Positions
Quantitative Researcher
Strong quantitative, mathematical, and programming skills; 1–5 years of experience in systematic equity research or quantitative trading; MS or PhD in a quantitative field (e.g., mathematics, statistics, computer science, physics, engineering)
Trading Operations Associate
0-3 years of experience, Bachelor's degree, strong technical and operational skills
Trader
7-10 years of experience in investment management, bachelor's degree, and strong hands-on experience in Asian equity financing required
Quantitative Research Intern
Top-tier university degree in a quantitative field and strong programming skills in Python. Experience in quantitative research, data analysis, and statistical modeling
End User Services Engineer
2+ years of IT experience, Bachelor's degree, strong troubleshooting skills
Network Engineer
Bachelor's degree in Computer Science or related field, 5-10 years of network experience, and proficiency in scripting and/or programming
Legal Counsel
5-10 years of experience as a qualified lawyer in Hong Kong or Singapore
Accounting Manager
Bachelor’s degree in Accounting, 5-10 years of experience in financial services, and prior experience in hedge funds or asset management
End User Services Engineer
2+ years of IT experience, bachelor's degree, strong communication and troubleshooting skills, experience with Windows and Office 365, and knowledge of networking and security concepts
Quantitative Researcher
Master's degree in Financial Engineering or related field, 2 years of experience in financial engineering role, experience with statistical arbitrage and Machine Learning predictive models