INTERNSHIP DETAILS

Quantitative Research Intern

CompanyEngineers Gate
LocationSingapore
Work ModeOn Site
PostedOctober 23, 2026
Internship Information
Core Responsibilities
The intern will contribute to signal development and data infrastructure research while gaining exposure to the full quantitative research process. Responsibilities include developing alpha signals, writing production-quality code, and transforming raw datasets into validated inputs.
Internship Type
full time
Company Size
272
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Engineers Gate (EG) is a quantitative investment firm founded in 2014 and focused on systematic trading in global financial markets. We are a team of portfolio managers, researchers, engineers, and financial professionals with a common vision for excellence and a culture of collaboration. Our mission is to deliver top-tier systematic capacity for our own and our partners’ capital by sourcing and supporting elite quantitative portfolio management and research talent utilizing our hybrid multi-manager approach. This approach is rooted in our core values, which have steered the Firm since its inception: an unwavering commitment to performance; maximizing efficiency per unit of capital and per dollar spent; fostering a collaborative culture to attract and empower top talent; investing in technology and innovation to drive sustainable competitive edge; and a commitment to ensure alignment among all stakeholders – all while upholding a patient and disciplined approach to capital allocation and risk management. Engineers Gate is a Registered Investment Advisor regulated by the U.S. Securities and Exchange Commission as well as a Commodity Pool Operator regulated by the U.S. Commodity Futures Trading Commission.
About the 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 

 

 

Key Skills
PythonMathematicsStatisticsQuantitative ResearchSignal DevelopmentData AnalysisFinancial ModelingProblem SolvingAlgorithm DevelopmentData InfrastructureEquities ResearchAI ToolsCommunicationResearch Implementation
Categories
Finance & AccountingScience & ResearchData & AnalyticsTechnologyEngineering