Top Research Jobs in Singapore

Join Quantbox as a Junior Quantitative Researcher to develop and enhance trading models, leveraging skills in math, programming, and data analysis.

The Senior Research Analyst I maintains models and databases, produces reports, responds to client inquiries, and contributes to product development in the chemical industry.

The Principal Research Analyst will provide market analysis and forecasts for Ethylene Oxide & Derivatives, prepare reports, and engage with clients, focusing on the Asian Aromatics market.

The Principal Research Analyst will conduct market research and analysis on naphtha, manage service delivery, and support the development of tools for client engagement.

The Intelligence & Research Analyst synthesizes media intelligence for clients in defense and public affairs, focusing on research, report quality, and client engagement.

The role involves researching and updating profiles of companies with adverse media, requiring fluency in Korean and English, and strong analytical skills.

Manage datasets for QRT's research and trading platform, design data stores and APIs, monitor data health, and support users.

Lead and manage quantitative research projects, collaborate with internal teams to analyze results, and present findings to clients.

The Research Editor will create accurate and timely reports on individuals/companies, ensuring quality standards are met, while also assisting in special projects and training staff.

Collaborate with quantitative researchers and traders to design datasets, code for data extraction and management, and solve data issues.

Contribute to NLP research projects, train large language models, and collaborate with team members from prototyping to production.

Intern will support the development of 3D model and avatar generation systems, collaborate with experts, and contribute to innovative project discussions.

Conduct research on computer systems, develop innovative solutions, evaluate system performance, and collaborate with teams on diverse technical problems.

Assist in creating data ETL pipelines and features for machine learning algorithms, while writing clean, documented code and debugging issues.